Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secure, scalable, and high-quality data solutions. This position is essential for generating real-time insights and advancing our mission of optimizing enterprise operations.Key ResponsibilitiesDesign, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows, adhering to best practices and security standards.Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.Investigate and assess batch and streaming data technologies to gauge their business impact and relevance to current use cases.Contribute to defining and continuously enhancing data engineering processes and methodologies.Ensure data integrity, accuracy, and security across all corporate data assets.Uphold high data quality standards for Data Services, Analytics, and Master Data Management.Create automated, scalable, and test-driven data pipelines.Utilize software development practices, including Git-based version control, CI/CD, and release management, to enhance AWS CI/CD pipelines.Partner with DevOps engineers and architects to refine DataOps tools and frameworks.
Jan 13, 2026