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Data Engineer (Python, PySpark, AWS)

0 years

0 Lacs

hyderabad telangana india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data python pyspark aws engineering stack design etl automation ai code logic processing scala programming spark development github sqs dynamodb monitoring pipeline

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, and the AWS Data Engineering stack to design, develop, and optimize large-scale ETL pipelines. The ideal candidate will have a solid foundation in data engineering best practices, automation, and modern cloud-based architectures, along with a passion for leveraging Generative AI tools to boost productivity and code quality.

Core Must-Have Skills

  • Strong proficiency in Python and PySpark for developing and optimizing ETL pipelines.
  • In-depth understanding of data engineering best practices, including data validation, transformation logic, and performance optimization.
  • Experience working with large-scale data processing and distributed computing environments.

Good-to-Have / Preferred Skills

  • Working knowledge of Scala programming, particularly for Spark-based use cases.
  • Familiarity with AI-assisted development tools such as GitHub Copilot to enhance productivity and code quality.

AWS Data Engineering Stack Expertise

  • Hands-on experience with AWS Glue, Lambda Functions, EventBridge, SQS, SNS, DynamoDB, and Streams for building serverless and event-driven data pipelines.
  • Proficiency in CloudWatch for creating dashboards, setting up s, and monitoring pipeline health.
  • Basic working knowledge of AWS CDK and CloudFormation for infrastructure automation and deployment.

Skills

Python ,Pyspark,Data Validation,Transformation Logic

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