AWS Data Engineer

3 weeks ago

bangalore, India People Prime Worldwide Full time

Data Engineer (L4) – Python & AWS Total Experience: 7–10 years Location : Hyderabad Job Overview We are looking for a Senior Data Engineer with strong expertise in Python and AWS . You will design and build scalable data pipelines, manage cloud-based data platforms, ensure data quality, and support analytics/AI use cases across the organization. Total Experience: 8–10 years Key Responsibilities Design and build scalable data pipelines using AWS Glue, Lambda, EMR, Step Functions , and Redshift Develop Python-based ETL/ELT frameworks and reusable modules Build and optimize data lakes (S3) and data warehouses (Redshift, Athena) Integrate data from multiple sources (RDBMS, API, Kinesis/Kafka, SaaS) Lead data modeling , partitioning, and performance tuning Implement data quality, observability, and lineage practices Ensure data security & governance (IAM, encryption, access control) Support Analytics, Data Science, and ML teams Set up CI/CD pipelines for data workflows Provide technical leadership, code reviews, and mentorship Monitor and troubleshoot data systems; drive performance & cost optimization Required Skills 6–10 years experience in Data Engineering Expert in Python (pandas, PySpark, boto3, SQLAlchemy) Strong in AWS data services : Glue, Lambda, EMR, Step Functions, DynamoDB, Redshift, S3, Athena, Kinesis Strong SQL and experience with data modeling Hands-on with CI/CD , Git, and infrastructure automation (CloudFormation/Terraform) Understanding of containerization (Docker/Kubernetes) Excellent problem-solving and communication skills ⭐ Nice-to-Have Experience with Spark/PySpark on EMR or Glue Knowledge of Airflow, dbt, or Dagster Experience with real-time streaming (Kafka/Kinesis) Familiarity with Lake Formation, DataBrew, Glue Studio Experience with ML platforms (SageMaker) or BI tools (QuickSight) AWS certifications (Data Analytics or Solutions Architect)

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