Data Engineer – AWS

7 days ago


Gurgaon, Haryana, India Recruin Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Only Immediate Joinees

Responsibilities:

Skills – AWS, DE, Airflow

Key Responsibilities

  • Design, develop, and maintain data pipelines using AWS services such as Glue, Lambda, Step Functions, EMR, Kinesis, and S3.
  • Build and optimize data warehouses and data lakes on AWS (Redshift, Lake Formation).
  • Develop ETL/ELT jobs using PySpark, Spark, Python, and AWS native tools.
  • Implement best practices for data modeling, partitioning, performance tuning, and data lifecycle management.
  • Monitor and troubleshoot production pipelines ensuring high availability and reliability.
  • Collaborate with Data Architects, Analysts, and Business SMEs to translate requirements into technical solutions.
  • Ensure compliance with security, governance, and architecture standards.
  • Work with CI/CD tools for automation, deployment, and version control (CodePipeline, Git, CloudFormation/Terraform).

Required Skills & Experience

  • 3–8 years of experience as a Data Engineer with strong AWS expertise.
  • Hands-on experience with:
  • AWS Glue (Jobs, Crawlers, Catalog)
  • Amazon Redshift / Redshift Spectrum
  • Amazon EMR / PySpark / Spark
  • AWS Lambda, S3, Athena, Kinesis
  • Strong proficiency in Python, PySpark, SQL, and data transformation techniques.
  • Experience with data lake, data warehouse, and streaming data architectures.
  • Solid understanding of cloud security, IAM, encryption, and networking basics.
  • Exposure to DevOps, CI/CD, and infrastructure-as-code tools.

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