Associate Process Manager

• 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