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AWS Data Engineer
AWS Data EngineerPeople Prime Worldwide • panchkula, India
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AWS Data Engineer

AWS Data Engineer

People Prime Worldwide • panchkula, India
1 day ago
Job description

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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    Aws Data Engineer • panchkula, India

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