We are looking for a talented AWS Data Engineer with 2-5 years of experience in building, optimizing, and maintaining scalable data solutions on the AWS cloud platform. The ideal candidate should have hands-on expertise in AWS data services, Python, SQL, ETL development, and big data technologies to support enterprise data and analytics initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS.
- Build and optimize ETL/ELT processes for ingesting and transforming large volumes of data.
- Develop data integration solutions using AWS services such as Glue, S3, Lambda, and Redshift.
- Create and manage data lakes and data warehouses on AWS.
- Optimize data processing workflows for performance, reliability, and cost efficiency.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements.
- Implement data quality checks, validation frameworks, and monitoring solutions.
- Troubleshoot and resolve data pipeline and production issues.
- Ensure adherence to data governance, security, and compliance standards.
- Participate in code reviews, testing, deployment, and documentation activities.
📌 Aws Data Engineer (2 To 5 Years) (Bengaluru)
🏢 Infosys
📍 Bengaluru
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