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Data Engineer

Jobs via Dice

Malvern · Hybrid Full-time Today

About the role

Job Summary

We are looking for a skilled Data Engineer with strong experience in building scalable ETL pipelines and working with AWS data services. The ideal candidate will handle large-scale data integration, ensure data quality, and support analytics needs.

Key Skills

  • AWS: Glue, S3, Lambda, Athena, IAM, SNS, SQS, SageMaker
  • Python, SQL, PySpark
  • Data Modeling
  • GitHub, Jira, Confluence

Responsibilities

  • Develop and maintain ETL pipelines for real-time and batch processing
  • Integrate and process large datasets from multiple sources
  • Ensure data accuracy, consistency, and integrity
  • Translate business requirements into technical solutions
  • Write optimized queries, programs, and reports
  • Collaborate with stakeholders and support data-driven decisions

Requirements

  • Strong hands-on experience with AWS data ecosystem
  • Solid programming skills in Python, SQL, and PySpark
  • Experience with data warehousing and modeling
  • Excellent problem-solving and communication skills

Skills

AWS GlueAWS IAMAWS LambdaAWS SageMakerAWS S3AWS SNSAWS SQSAthenaData ModelingGitHubJiraPythonPySparkSQL

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