Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

  • Around 8+ years of experience

    in data engineering or cloud computing data development
  • Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue,

    and Azure Data Factory
  • Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
  • Build data lake and data warehouse solutions using AWS S3

    , Azure Data Lake
  • Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows
  • Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
  • Maintenance and support of Data Pipeline.
  • Data load monitoring
  • Data Validation and quality checks
  • Identify and optimize ingestion pipelines in consultation with Customer


Data: L2/L3 Support

  • Investigate Glue job failures and restart
  • Fix minor transformation logic or input data issues
  • Resolve dependency failures in Glue workflows
  • Tune job configurations
  • Impact Analysis and RCA
  • 8x5 support model



This is a Lead role only relevant candidates apply. Also we are only looking for candidates to join in Mumbai Location and candidates who are immediately available

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ITC Infotech

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Bengaluru

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