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Associate Process Manager

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  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Develop efficient data transformations using Python and SQL.
  • Work with large datasets and optimize queries and data processing.
  • Build and maintain data ingestion, transformation, and integration workflows.
  • Collaborate with Data Scientists, Analysts, and business stakeholders to deliver data solutions.
  • Ensure data quality, reliability, security, and performance.
  • Troubleshoot pipeline failures and resolve data-related issues.
  • Contribute to data architecture and engineering best practices.

Mandatory Skills:

  • Strong hands-on experience with Python
  • Advanced SQL
  • Strong experience in ETL/ELT & Snowflake
  • Experience with data warehousing and data modeling
  • Experience working with cloud/data platforms such as GCP, AWS, Azure, Snowflake, BigQuery, or Databricks
  • Good understanding of data pipeline architecture and data integration

Skills

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