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Data Engineer

Data Engineer

Veraxionpune, India
5 days ago
Job description

We’re looking for a Data Engineer to design, build, and scale modern data platforms on AWS . You’ll work with Python, Spark, DBT, and AWS-native services in an Agile environment to deliver scalable, secure, and high-performance data solutions.

What you’ll do

  • Develop and optimize ETL / ELT pipelines with Python, DBT, and AWS services (Data Ops Live).
  • Build and manage S3-based data lakes using modern data formats (Parquet, ORC, Iceberg).
  • Deliver end-to-end data solutions with Glue, EMR, Lambda, Redshift, and Athena .
  • Implement strong metadata, governance, and security using Glue Data Catalog, Lake Formation, IAM, and KMS.
  • Orchestrate workflows with Airflow, Step Functions, or AWS-native tools .
  • Ensure reliability and automation with CloudWatch, CloudTrail, CodePipeline, and Terraform.
  • Collaborate with analysts and data scientists to deliver business insights in an Agile setting.

Required Skills & Experience

  • 4–7 years of experience in data engineering , with 3+ years on AWS platforms
  • Strong in Python (incl. AWS SDKs), DBT, SQL, and Spark
  • Proven expertise with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
  • Hands-on experience with workflow orchestration (Airflow / Step Functions)
  • Familiarity with data lake formats (Parquet, ORC, Iceberg) and DevOps practices (Terraform, CI / CD)
  • Solid understanding of data governance & security best practices

    • Bonus

  • Exposure to Data Mesh principles and platforms like Data.World
  • Familiarity with H adoop / HDFS in hybrid or legacy environments
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