AWS Data Engineer
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Summary
Design, build, and maintain scalable cloud data solutions on AWS — mainly ETL pipelines using AWS Glue, Lambda (serverless), Python, PySpark, and SQL — with DevOps/CI-CD practices and data-lake architecture supporting enterprise data initiatives.
About the Role
We are seeking a highly skilled AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong expertise in AWS Glue, Python, PySpark, SQL, AWS Lambda, and DevOps practices to build robust ETL pipelines, optimize data workflows, and support enterprise data initiatives.
Required Skills
- Strong experience in AWS Data Engineering.
- Hands-on expertise with AWS Glue for ETL development.
- Proficiency in Python and PySpark.
- Strong knowledge of SQL and database optimization techniques.
- Experience with AWS Lambda and serverless architecture.
- Understanding of DevOps practices, CI/CD, Git, and deployment automation.
- Experience working with data lakes and cloud-native data architectures on AWS.