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Data Engineer

Astreya

Roles & Responsibilities

  • 8-10 years of experience as a data engineer or in a similar role.
  • Proficient in designing and maintaining ETL/ELT pipelines.
  • Skilled in automated data quality testing and observability/monitoring.
  • Hands-on experience with AWS data services (e.g., AWS Glue, Redshift, S3, Athena, Lake Formation, IAM, CloudWatch).

Requirements:

  • Build and maintain ETL/ELT pipelines to move data from source to storage.
  • Implement automated data quality testing and observability alerts.
  • Optimize data storage formats (e.g., Parquet, Delta Lake) for high-speed querying.
  • Manage CI/CD pipelines for data code deployment.

Job description

  • Years of experience: 8 to 10  years

Focus: Reliability, Automation, and Data Quality. The Engineer turns the architect's blueprint into a working, automated reality.

  • Key Responsibilities:
  • Build and maintain ETL/ELT pipelines to move data from source to storage.
  • Implement automated data quality testing and observability alerts.
  • Optimize data storage formats (e.g., Parquet, Delta Lake) for high-speed querying.
  • Manage CI/CD pipelines for data code deployment.
  • Create interactive visualizations with actionable insights by persona
  • Deliverables: Production-ready optimized data pipelines, Cleaned datasets, interactive & intelligent dashboards.
  • Tech Stack - AWS
  • Data Ingestion & Processing : AWS API Gateway, AWS Lambda, AWS Glue ETL, AWS Glue Crawler
  • Data Storage & Analytics : Amazon S3, Amazon Redshift (Data Warehouse), Amazon Athena
  • Governance & Security : AWS Lake Formation, AWS IAM, AWS CloudTrail, Amazon CloudWatch
  • AI & Analytics : AWS Bedrock
  • Visualization : Amazon QuickSight
  • Visa Requirement: Preferred USA B1 Business Visa with a minimum validity of 2 years
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