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Data Engineer

8-10 Years

This job is no longer accepting applications

Job Description

Role: Senior AWS Data Engineer

Experience: 8+ Years

Location: Pune

We are looking for an experienced Senior AWS Data Engineer to join our data engineering team and work on scalable cloud data platforms, real-time data processing, and high-volume data pipelines.

The ideal candidate will have strong hands-on expertise in AWS Data Engineering, PySpark, Python, AWS Glue, Amazon EMR, Apache Kafka, Spark Streaming, Hudi, Iceberg, Docker, ECS, and Terraform.

Key Responsibilities

  • Design, develop, and maintain scalable AWS data pipelines and data platforms.
  • Build high-performance ETL workflows using AWS Glue, Glue ETL, and Glue Data Catalog.
  • Develop distributed data processing solutions using Python, PySpark, and Apache Spark.
  • Build real-time streaming pipelines using Apache Kafka and Spark Streaming.
  • Work with large-scale data lake environments using Apache Hudi and Apache Iceberg.
  • Develop and optimize distributed processing workloads using Amazon EMR.
  • Design reliable and fault-tolerant data pipelines for high-volume, real-time data.
  • Use Docker and Amazon ECS for application deployment and containerization.
  • Implement infrastructure automation using Terraform.
  • Apply strong software engineering and OOP principles to build maintainable data solutions.
  • Collaborate with engineering, architecture, and business teams to deliver production-ready data platforms.

Required Skills

  • 8+ years of experience in Data Engineering.
  • Strong hands-on experience with AWS Data Engineering.
  • Expert-level experience with Python and PySpark.
  • Strong experience with AWS Glue, Glue ETL, and Glue Data Catalog.
  • Hands-on experience with Amazon EMR.
  • Strong knowledge of Apache Kafka and Spark Streaming.
  • Experience with Apache Hudi and/or Apache Iceberg.
  • Experience with Docker and Amazon ECS.
  • Good understanding of Terraform and infrastructure automation.
  • Strong understanding of OOP/OOPS and software engineering practices.
  • Experience working with high-volume and real-time data processing environments.

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About Company

Job ID: 152380927

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