Data Engineer

We are looking for a Data Engineer to design, develop, and maintain scalable, reliable, and secure data platforms that power business intelligence and data-driven decision-making. The ideal candidate will bring strong expertise in data architecture, ETL pipelines, data integration, and platform optimization, along with the ability to guide engineering teams and establish technical best practices. In this role, you will drive data engineering initiatives, modernize existing data systems, ensure data quality and governance, and collaborate with cross-functional teams to deliver high-impact data solutions aligned with business objectives. Responsibilities: Design, build, and scale robust ETL pipelines to support complex data workflows while ensuring high performance, reliability, and adaptability to evolving business needs. Automate and manage data ingestion from diverse sources (databases, APIs, cloud platforms), ensuring system resilience, fault tolerance, and failover readiness. Optimize data storage, processing, and retrieval layers to balance performance, scalability, and cost efficiency across the data platform. Modernize and enhance legacy data systems by identifying gaps, implementing architectural improvements, and aligning solutions with future business requirements. Lead technical excellence within the data engineering function through mentorship, code reviews, best-practice enforcement, and adoption of advanced tools and frameworks. Ensure end-to-end data quality, in