Data Engineer- AWS

We are seeking an AWS Data Engineer with 4–7 years of experience to design and build cloud-native data pipelines, contribute to innovation in data engineering practices, and collaborate across teams to deliver secure, scalable, and high-quality data solutions.

Requirements

• Develop, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows in alignment with 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.
• Research and experiment with batch and streaming data technologies to evaluate their business impact and suitability for current use cases.
• Contribute to the definition and continuous improvement of data engineering processes and procedures.
• Ensure data integrity, accuracy, and security across corporate data assets.
• Maintain high data quality standards for Data Services, Analytics, and Master Data Management.
• Build automated, scalable, and test-driven data pipelines.
• Apply 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 improve DataOps tools and frameworks.