AWS Data Engineer

2 days ago


New Delhi, India People Prime Worldwide Full time

Important Note (Please Read Before Applying)Do NOT apply if:• You have less than 8 years or more than 10 years of total experience• You do NOT have strong Python + AWS Data Engineering experience• You are NOT hands-on with Glue/EMR/Redshift/Athena• You are on a notice period longer than 30 days• You lack real experience in building data pipelines end-to-end• You are from unrelated backgrounds (support/testing-only/non-data roles)Apply ONLY if you meet ALL criteria above.Random / irrelevant applications will not be processed.Job Title: Senior Data Engineer – Python & AWSLocation: HyderabadExperience: 8–10 Years (STRICTLY)Employment Type: PermanentNotice Period: Immediate to 10 Days OnlyAbout the Company:Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.Job Description:• Architect, build, and optimize scalable data pipelines using AWS services (Glue, Lambda, EMR, Step Functions, Redshift)• Design and manage data lakes and data warehouses on S3, Redshift, and Athena• Develop Python-based ETL/ELT frameworks and reusable transformation modules• Integrate diverse data sources including RDBMS, APIs, SaaS, Kinesis/Kafka• Lead data modeling, schema design, and partitioning strategies for performance and cost efficiency• Implement data quality, observability, and lineage using AWS Glue Data Catalog/Data Quality or equivalent tools• Enforce strong data security, governance, IAM, encryption, and compliance practices• Collaborate with Data Science, Analytics, DevOps, and Product teams to support ML/BI workloads• Build CI/CD pipelines using CodePipeline, GitHub Actions, or similar• Provide technical leadership, mentoring, and conduct code reviews• Monitor and troubleshoot data infrastructure, ensuring high performance and reliabilityMandatory Skills:5–10 years of hands-on experience in Data EngineeringExpert-level Python (pandas, PySpark, boto3, SQLAlchemy)Deep experience with AWS Data Services:• Glue, Lambda, EMR, Step Functions• Redshift, DynamoDB, Athena, S3, Kinesis• IAM, CloudWatch, CloudFormation/TerraformStrong SQL, data modeling & performance tuning expertiseProven experience building data lakes, warehouses, ETL/ELT pipelinesExperience with Git, CI/CD, and DevOps conceptsStrong understanding of data governance, quality, lineage, and securityPreferred / Nice-to-Have Skills:• Apache Spark / PySpark on EMR or Glue• Workflow orchestration tools (Airflow, dbt, Dagster)• Real-time streaming: Kafka, Kinesis Data Streams/Firehose• AWS Lake Formation, Glue Studio, DataBrew• Exposure to ML/Analytics platforms (SageMaker, QuickSight)• AWS Analytics or Solutions Architect Certification


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