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Aws Data Engineer

  • Source: Naukri
  • TAO Digital
  • $18,782.2 to $31,303.67 /yr
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Key Responsibilities

Technical Leadership & Platform Ownership

  • Serve as the technical lead and design authority for AWS data engineering initiatives across multiple enterprise platforms.
  • Own architectural decisions related to scalability, reliability, security, and cost optimization of AWS data platforms.
  • Define and enforce engineering standards, coding patterns, and operational best practices for cloud data pipelines.
  • Provide handson technical guidance, design reviews, and code reviews for data engineers.

AWS Data Platform Engineering

  • Lead the design, development, and support of cloudnative data pipelines using Amazon S3, AWS Glue (PySpark), MWAA (Apache Airflow), and AWS Step Functions.
  • Drive onpremises to AWS data platform migrations, including reverse engineering of legacy ETL workflows and reimplementation using AWSnative services.
  • Rearchitect legacy Oracle Data Integrator (ODI)based ETL processes into scalable PySparkbased Glue jobs.
  • Optimize Spark workloads for performance, memory usage, and cost efficiency in AWS Glue environments. Role & responsibilities

Preferred candidate profile

Skills

  • amazon-web-services
  • amazon-s3
  • aws-glue
  • pyspark
  • Airflow
  • apache-airflow
  • aws-step-functions
  • oracle
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