Remote Data Engineering & Analytics Jobs

Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC , and a Federal Government Contractor industry leader, isseeking a highly motivated Software Engineer to lead the development of a responsive, web-based application that enables rapid, mobile collection of Hydrogeomorphic (HGM)-relevant field data. This role combines technical expertise in full-stack development with a mission-driven focus on ecological data collection and assessment in support of customer projects. Position Responsibilities: Design, develop, and test a web-based platform for desktop and mobile use. Implement database structures and workflows to support field data collection and storage. Integrate automated quality controls to reduce error and improve data accuracy. Collaborate with ecological researchers to align tool functionality with HGM assessment needs. Prepare documentation, including user guides and technical reports, to support tool deployment and reproducibility. Positions Requirements: Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred). 5–7 years of professional experience in web and mobile application development. Strong background in database management, cross-platform development, and responsive design. Demonstrated ability to produce robust, user-friendly tools that meet scientific and operational requirements. Excellent communication skills and ability to work in a multidisciplinary research team. Security Requirements: Must be a US Ci

Job Description: Do you have experience in SAP Master Data and are looking for a new challenge in international projects? In this position, you will be responsible for the management and migration of master data in SAP environments, ensuring quality, governance, and proper integration into business processes. You will participate in deployments, rollouts, and key activities to ensure successful implementations. Responsibilities: Support data structuring and mapping (Material, Customer, Vendor, IG Partner, FICO objects). Perform Value List Mapping activities and analyze field usage in SAP programs. Identify and document reports and queries in SAP ERP. Execute mass migration processes and open data cleanup. Collaborate in planning and executing deployment and implementation strategies. Ensure proper master data governance and compliance with standards. Requirements: Demonstrated experience in SAP Master Data Management and SAP MDG. Deep knowledge of data migration, rollouts, integration, and upgrades. Mastery of master objects: Customer, Vendor, Business Partner, Material, Finance, and Controlling. Experience in deployment management and post-implementation support. Fluent English (essential); French is a plus. Residence in Barcelona or availability to work from other cities in Spain. Ability to work in international environments and complex projects. Why join us? You will participate in strategic projects

NVIDIA is seeking an engineering lead to architect and scale the data acquisition infrastructure that powers our foundation models. Starting with code and STEM data for Nemotron, you will build the systems that discover valuable sources, crawl the open web at scale, and deliver reliable, high-quality data to training pipelines. This is a hands-on technical leadership role spanning distributed systems, crawl infrastructure, and third-party data ingestion. You will own the architecture of a unified platform covering source discovery, URL indexing, crawl frontiers, predictive ranking, scheduling, distributed fetching, and ingestion. We have existing infrastructure to build on, and the goal is to bring it to pretraining scale and extend it to additional model families, modalities, and acquisition workflows over time. Along the way, you will lead architecture reviews and critical implementation work, mentor engineers, and help build the team. What you’ll be doing: Work with storage and scaling teams to design scalable frontier storage and queueing systems with high-throughput writes, efficient lookups, deduplication, and scheduling based on data quality, diversity, and freshness. Build a continuous discovery loop that extracts links and feeds new candidates back into the crawl frontier. Develop a shared crawl execution layer that fetches reliably and politely at scale, handling dynamic websites while keeping resource use under control. Build extensible pipelines for open-web, lice

Remote position, ONLY for candidates based in ARGENTINA RYZ Labs is looking for a Card Identification & Data Annotation Specialist to join one of our clients' teams, working on innovative technology for sports and trading card identification. In this role, you will help ensure that card information is accurate, consistent, and reliable. You will review and validate data, identify discrepancies, and work closely with internal teams to improve product quality. This is a great opportunity for someone detail-oriented, curious, and comfortable working with data , with an interest in sports, trading cards, or collectibles. Key Responsibilities Review and verify card information and data. Identify inconsistencies, errors, or missing information. Validate data using internal tools and online resources. Help maintain high standards of accuracy and quality. Research and resolve questions or unusual cases. Collaborate with internal teams to clarify information and improve processes. Adapt to different data and annotation tasks as projects evolve. Requirements Strong attention to detail and accuracy. Comfortable working with data and repetitive tasks while maintaining consistency. Good research and problem-solving skills. Strong written and verbal English communication. Comfortable using online tools and learning new platforms. Interest in sports, trading cards, collectibles, or similar areas is a plus. Availability to work during US Eastern Time business hours or with significant ov

We are looking for Data Engineers and BI Developers to join our team and take responsibility for designing, developing, and optimising Business Intelligence and data analytics solutions. We are seeking candidates with experience across the entire data analytics lifecycle who are comfortable working at the intersection of data, technology, and business. Depending on your experience level (Regular or Senior), you will be involved in advanced data modeling, performance optimisation, data visualisation, and the development of scalable data infrastructures. You will work with large datasets, ensuring high data quality, reliability, and availability across the organisation. Requirements: Strong experience with SQL or similar query languages Hands-on experience with BI tools Experience with ETL / ELT data processing Solid knowledge of data modeling and optimisation techniques Understanding of data quality management and KPI monitoring Experience working in cloud-based data ecosystems Ability to create scripts for process automation ( SQL, Python, Scala ) Experience collaborating with business stakeholders Strong communication skills and ability to gather business requirements Fluent Polish and English, both written and spoken Nice to Have: Experience working with large-scale data platforms Knowledge of data warehouse and data lake architectures Proactive mindset and willingness to grow within data and analytics domains Main responsibilities: Design, develop, and optimise BI and data

Your tasks: You support the stable and reliable operation of our database landscapes based on Microsoft SQL Server, Oracle Database, and PostgreSQL, and handle incident and change management tasks. You install, configure, and administer database instances, analyze performance issues, and implement appropriate optimization measures. You help ensure reliable backup and recovery processes, as well as the implementation and monitoring of high availability and disaster recovery concepts. You optimize maintenance jobs and monitoring processes to ensure the availability, stability, and performance of our database systems. You automate operational and deployment processes using Python, PowerShell, and Ansible, and support the setup and maintenance of CI/CD pipelines for database-related deployments. You contribute to the standardization of our operational processes, ensure data quality and information integrity, and create clear technical documentation. You assist in architecture and platform decisions, explore new technologies such as AI-driven automation, and contribute ideas for the continuous development of our database environments. Your profile: You have solid knowledge in the administration of Microsoft SQL Server, Oracle Database, and PostgreSQL. You bring practical knowledge in Python and PowerShell...

Company Description Workleap is a Montreal-based tech company, founded in 2006. We're builders at heart, we make simple products that actually matter to the people who use them. We have two product lines: Workleap Agent, our newest solution built to make every manager more effective, and ShareGate, the world's leading solution for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us to do exactly that. We're intentional about who joins us. If you're the kind of person who gets excited by a hard problem and wants to help shape what comes next, there's a place for you here. Your role At Workleap , turning AI experiments into production capabilities is already part of how we build products and improve internal operations. Our Data team brings strong data engineering and science foundations; this role adds dedicated production AI engineering. As a Senior AI Developer, you'll design, build, and operate the AI systems and agentic workflows that connect foundation models to our data, tools, and applications, and you'll set the technical direction for how we do it well. Your impact: Ship production AI systems and agentic workflows that deliver measurable value in Workleap 's products and internal operations. Own the production quality of those systems: observability, testing, security, and cost built in from the start. Turn evaluation evidence from Data Scientists into engineering improvements, so we know whether a system is getting better or worse. E

Why Keyrus , Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus , you will not just develop skills—you will develop judgment. Your expertise sharpens with every client challenge you solve, every opportunity you shape, and every strategic partnership you help build. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and executive decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. 🚀 What You'll Architect As a Bilingual Business Analyst (GCP) at Keyrus , you will act as the strategic bridge between business stakeholders and cloud-based technology solutions, helping organizations maximize the value of their Google Cloud Platform (GCP) investm

Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Responsibilities Peraton is hiring a full-time Data Architect to support data-driven decision-making for critical missions within Peraton 's Risk Decision Group. This position will be 100% remote. This role focuses on designing, developing, and optimizing analytic solutions to support mission-critical applications. The ideal candidate will have strong technical expertise in data preparation, visualization, and automation, with hands-on experience in SQL, Tableau Prep, Tableau Desktop, Tableau Server. This role will be responsible for transforming raw data into meaningful insights, developing scalable dashboards, and supporting enterprise reporting ini

Product Manager_ We connect marketing data from 300+ sources (Google Ads, Meta, HubSpot, Salesforce, TikTok) to 30+ destinations (Looker Studio, BigQuery, Snowflake, ChatGPT, Claude) for 6,000+ customers worldwide. Lean team, real revenue, no fluff. This is our first Product Manager hire, no team to inherit, no roadmap to plug into. You're building the function from scratch. Some of what you try first won't work. That's expected, not a red flag. We're not looking for someone's first product job. You've shipped before, more than once, and you know what "good" looks like because you've built it. What you'll do Decide what gets built and say no to more than you say yes. Windsor has 300+ integrations already live and constant pressure to add "just one more" the job is cutting that list down, not growing it blindly. Turn customer feedback, usage data, and competitive gaps into a short list of things worth doing. Work close enough to engineering to sanity-check your own estimates, not relay someone else's. Use data to decide, even when it's incomplete which it usually will be. Ship. A roadmap nobody ships is a document, not a product function. What you need Shipped a SaaS product customers actually paid for and used more than once, not a one-off. Comfortable pulling and reading your own data (usage, funnel, retention) without waiting on an analyst. Can cut a long list of good ideas down to the few that matter, and explain what you dropped and why. Real engineering background, or cl

Project/Client: Banking Location: Baltic States and Poland Citizen (remote) Start Date: ASAP Duration: 12 months Language: English Role Overview: We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises (Oracle DB) environments, working with Airflow, dbt, and SAP Data Services, and contributing to Data Mesh and Medallion architecture implementations. Key Responsibilities: Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments Build and optimize ETL/ELT pipelines and data architectures using Airflow, dbt, and SAP Data Services Support modernization and migration of legacy data systems toward cloud-native architecture Ensure high standards of data quality, security, and performance across all data workflows Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00 Must-Have Requirements: Proven hands-on experience with SQL and Python Hands-on experience with cloud platforms - AWS, Azure, or GCP Good understanding of data pipeline tools such as Airflow or dbt Working knowledge of enterprise dat

Job Title: Clinical Data Specalist Job Location: Kochi, Kerala, India Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job Overview Provide basic and some comprehensive data management expertise to the Clinical Data Management (CDM) team to provide efficient, quality data management products that meet customer needs. May also undertake team leadership activities under the supervision of the Data Operations Coordinator (DOC), Data Team Lead (DTL), or Functional Manager. Essential Functions Serve as a Data Operations Coordinator (DOC) for one protocol with less then 5 operations staff (excludes DE) or 15+ easy to moderately complex central laboratory studies, or serve in a leadership role in a specific data management task (e.g., coder, tester or database designer for technologies that don't require extensive programming expertise) with guidance. • May serve in the role of back-up to a DOC or DTL. • May conduct data review. May write and resolve data clarifications. • May lead database audit team. • May develop and test databases and edit specifications. • May perform testing of programming. • May perform clinical data coding. Understand and comply with core operating procedures and working instructions. Meet objectives as assigned. Develop and maintain good communications and working relationships with CDM team." Qualifications Bachelor's Degree Clinical, biological or mathematical sciences, or related field Req • Equivalent combination of education,

Our Story TopDog Law is a nationally scaling personal injury firm that owns the client experience end to end, from marketing and intake through litigation. We've grown 2-3x year over year for three years running, and we're now building the operations, systems, and teams to scale without sacrificing quality or culture. We're fully remote, and we value ownership, open communication, and speed. If you want to help build something exceptional, you'll feel at home here. The Opportunity We're looking for a Senior DataOps Engineer to own the operations, security, and cost of our data platform. We're migrating from BigQuery to Snowflake, and you'll be the hands-on Snowflake expert who runs the platform and makes sure it stays secure, observable, and well managed as our data footprint grows with machine learning, AI, and structured and semi-structured data from AWS S3 and external vendor files. This is a tactical, hands-on role supporting the data team and application teams across multiple business verticals. You'll bring data operations practices together in one place, and over time that scope will grow to include the Postgres and NoSQL databases our application teams use. We need deep Snowflake expertise combined with the breadth to look beyond it: how all of our data tools, vendors, access, and costs fit together, and opportunities to improve platform practices. You bring demonstrated experience managing complex data platforms and improving their operations. What You Will Own Data

About Workleap: Workleap is a Montreal tech company founded in 2006. Builders at heart, we create simple products that make a real difference for those who use them. We have two product lines: The Workleap Agent, our new solution designed to help every manager be more efficient, and ShareGate, the world reference for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us to do just that. We are intentional in our choice of people we hire: individuals who want to roll up their sleeves and build something meaningful during one of the most exciting periods in tech history. Your Role: At Workleap, moving from AI experimentation to production-ready solutions is already part of how we develop our products and improve our internal operations. Our Data team has solid expertise in engineering and data science; this role adds dedicated expertise in the development and operation of AI systems in production. As a Senior AI Developer, you will design, develop, and operate AI systems and agentic workflows that connect AI models to our data, tools, and applications. You will also help define the technical directions to achieve this successfully. Your Impact: Deliver AI systems and agentic workflows into production that bring value...

SAP Data Migration Consultant – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Migration Consultant Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$118,000 Annually Experience Required: 68+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced SAP Data Migration Consultant to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Required Qualifications Bachelor’s degree in Computer Science, En

GVI, Inc. , a subsidiary of Three Saints Bay, LLC, and a government industry leader, is looking for a Technical Database Librarian to join our Team! This position will support our valued Naval Sea Logistics Command customer in fulfilling their function as the Technical Manual Management Activity (TMMA) for legacy and rapid-fielding logistics systems. In this position, you will execute the TMMA functions for PMO 314. Responsibilities: Technical Data Management: Manage and maintain accurate records within theMBPS Tech Data Mgmt orTechnical Data Management Information System (TDMIS). Ensure all assigned technical manuals are properly indexed, and coordinate the printing, stocking, and distribution of manuals to Fleet users. Administrative Formatting and Redlining: Incorporate approved technical updates into the manual formats. Execute administrative redlining strictly based upon finalized engineering source data, Engineering Change Proposals (ECPs), and redlines that have been formally signed and approved by the cognizant TMA/ISEA. Technical Authority Boundary Enforcement: Verify completeness of technical source data provided by the ISEA. If data provided is incomplete, return the technical data package to the TPOC for remediation by the TMA. Execute within the bounds of the TMMA. Do not author original technical/engineering maintenance procedures, altering system parameters, or determine Reliability-Centered Maintenance (RCM) logic. Track and manage the periodic review cyctle f

At CI&T, we help large enterprises transform the potential of AI into real business impact through AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real-world impact. AI is already part of how we work, evolve, and innovate every day. Important: If you reside in the Metropolitan Region of Campinas, your presence in the city's offices is mandatory in accordance with the current attendance policy. We are looking for a Data Engineer. We seek a professional with a technical profile, architectural vision, and a focus on quality, capable of transforming data into reliable assets for consumption by analytical and business areas. Responsibilities: Support, guide, and structure the data team (engineers and analysts), promoting engineering best practices, technical reviews, and continuous improvement of delivered solutions; - Structure and evolve the platform's data architecture, establishing standards for modeling, pipelines, data layers (Bronze, Silver, Gold), and governance, ensuring consistency and scalability; - Support the prioritization and refinement of technical demands, ensuring stories are well-defined with clear and viable criteria for...

What is Contentstack ? Contentstack is redefining how modern digital experiences are built and managed. As the pioneer of the Agentic Experience Platform (AXP), Contentstack brings together structured content and brand governance (Content Cloud), real-time customer data, omnichannel personalization (Data Cloud) and autonomous AI orchestration (Agent OS) into one unified system. While many organizations adopted headless CMS or standalone AI tools expecting transformation, they often found themselves managing disconnected systems and manual workflows. Contentstack helps enterprises move beyond that complexity by connecting content, data and AI in a way that makes digital experiences faster to launch, easier to manage and more adaptive in real time. Leading brands including Steve Madden, LG Electronics, Subaru of America, Dolce & Gabbana, ASICS, Decathlon, and Caesars Entertainment rely on Contentstack to reduce operational friction and deliver personalized, scalable digital experiences with confidence. The company is known for its customer-first culture and commitment to the communities it serves through the Contentstack Cares program. Learn more at www.contentstack.com . Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. The role We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive. This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward. You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-fac

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Data Platform Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Required Qualifications 5+ years of professional experience designing and operating big-data pipelines on Hadoop. Strong hands-on expertise with Apache Spark (Scala, Python, or Java

Description This is a remote independent contractor opportunity working closely with our US-based team. Candidates should have strong English communication skills and availability for scheduled collaboration during US Central or Eastern Time hours. Rankings.io is looking for a meticulous, HubSpot-savvy Data Management Specialist to own the accuracy and usability of our sales and marketing data. This role is ideal for someone who enjoys building, fixing, and maintaining data every day, and who takes pride in a clean CRM. Reporting to the VP of RevOps, you'll be the go-to resource for lists, views, and data integrity in HubSpot. Your work directly shapes how our sales and marketing teams target and reach law firms. Rankings.io offers comprehensive SEM services, including content creation, technical optimization, and keyword strategy for law firms. Responsibilities List Building & Management- Build, segment, and maintain active and static lists in HubSpot to support sales outreach, marketing campaigns, and reporting. Keep list criteria accurate as targeting needs change. Data Integrity & Deduplication- Identify and merge duplicate contacts, companies, and deals. Correct inaccurate, incomplete, or inconsistent records and associations. Views & Data Upkeep- Create and regularly update saved views, filters, and properties in HubSpot so teams can find what they need quickly. Imports & Exports- Prepare, clean, and import data from spreadsheets and outside sources. Pul

We are looking for a skilled and detail-oriented ETL Data Engineer to design, build, and maintain robust and scalable data extraction, transformation, and loading (ETL) pipelines. The ideal candidate will work closely with data analysts, scientists, and business stakeholders to deliver high-quality data solutions that support operational reporting, analytics, and decision-making. Description for Internal Candidates Key Responsibilities: Design, develop, test, and maintain ETL pipelines to process structured and unstructured data from diverse sources using Azure services such as cloud functions, data factory, databricks and other streaming services. Collaborate with data architects and business teams to gather data requirements and ensure data accuracy, integrity, and consistency. Optimize ETL workflows for performance, reliability, and scalability. Develop and maintain data models, schemas, and documentation for ETL processes. Monitor data flows and troubleshoot issues in production environments. Implement and enforce data quality rules, validation checks, and exception handling. Work with cloud and on-premise data storage systems and integrate them as needed. Ensure compliance with data governance, security, and privacy standards. Required Qualifications: 3–7 years of experience in ETL development and data engineering. Proficiency in Azure cloud functions, Azure Data Factory. Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle, Postgr

We are looking for a skilled and detail-oriented ETL Data Engineer to design, build, and maintain robust and scalable data extraction, transformation, and loading (ETL) pipelines. The ideal candidate will work closely with data analysts, scientists, and business stakeholders to deliver high-quality data solutions that support operational reporting, analytics, and decision-making. Description for Internal Candidates Key Responsibilities: Design, develop, test, and maintain ETL pipelines to process structured and unstructured data from diverse sources using Azure services such as cloud functions, data factory, databricks and other streaming services. Collaborate with data architects and business teams to gather data requirements and ensure data accuracy, integrity, and consistency. Optimize ETL workflows for performance, reliability, and scalability. Develop and maintain data models, schemas, and documentation for ETL processes. Monitor data flows and troubleshoot issues in production environments. Implement and enforce data quality rules, validation checks, and exception handling. Work with cloud and on-premise data storage systems and integrate them as needed. Ensure compliance with data governance, security, and privacy standards. Required Qualifications: 3–7 years of experience in ETL development and data engineering. Proficiency in Azure cloud functions, Azure Data Factory. Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle, Postgr

We are looking for an experienced Senior Snowflake Data Architect to join our growing data team. This role is ideal for someone who combines deep technical expertise in Snowflake and Azure with strong architectural thinking, security awareness, and excellent communication skills. Requirements: 8+ years of experience in Data Engineering roles 5+ years of hands-on experience with Snowflake and Azure 2+ years of experience as a Snowflake Architect Proven experience with Infrastructure as Code (Terraform or Bicep) Strong understanding of Azure Cloud architecture Deep knowledge of Snowflake security and data protection mechanisms Advanced data modeling skills Experience assessing and optimizing Snowflake platforms for security and scalabilit Strong communication skills and ability to work with both technical and non-technical stakeholders Nice to Have Experience in large-scale enterprise environments Exposure to AI-driven data solutions beyond Snowflake Cortex Certifications in Snowflake or Azure Main responsibilities: Design, architect, and optimize scalable data solutions using Snowflake and Azure Lead Snowflake architecture initiatives, ensuring performance, scalability, and security best practices Conduct Snowflake Data Platform assessments, particularly in security and scalability areas Implement Infrastructure as Code (IaC) solutions using Terraform or Bicep Leverage Snowflake AI capabilities (e.g., Cortex AI) to enhance data solutions Develop and maintain robust data models