AWS Data Engineer
People Prime WorldwideVadodara, IN10 hours ago
Job descriptionArchitect, 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 reliability 5–10 years of hands-on experience in Data Engineering Expert-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 / Terraform Strong SQL, data modeling & performance tuning expertise Proven experience building data lakes, warehouses, ETL / ELT pipelines Experience with Git, CI / CD, and DevOps concepts Strong understanding of data governance, quality, lineage, and security 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
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 & AWS
Location : Hyderabad
Experience : 8–10 Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate to 10 Days Only
About 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 :
Mandatory Skills :
Preferred / Nice-to-Have Skills :
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Aws Data Engineer • Vadodara, IN
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