Data Engineer

Data Engineer Role Overview The Data Engineer is responsible for designing, building, and maintaining scalable, cloud�native data pipelines and data infrastructure that support analytics, reporting, business intelligence, and real-time data processing. This role ensures that data is accessible, reliable, secure, and optimized for performance across enterprise platforms. The Data Engineer collaborates with business stakeholders, analysts, data scientists, and application teams to deliver high-quality data solutions using modern cloud, big data, and API-driven technologies. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing. • Build and optimize data models, Delta Tables, and Lakehouse architectures to support analytics and reporting. • Develop and integrate RESTful APIs and data services to facilitate seamless data exchange across enterprise systems. • Implement real-time and high-frequency data ingestion frameworks using streaming technologies and event-driven architectures. • Design and manage cloud-native data solutions leveraging Azure services including Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics. • Develop and optimize Databricks Spark applications for large-scale data transformation and processing. • Ensure data quality, governance, security, and compliance across data platforms. • Collaborate with data scientists, analysts, application teams, and business stakeholders