Description
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:
Solid hands-on experience with Python
Advanced SQL
Solid 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
Positive understanding of data pipeline architecture and data integration
📌 Associate Process Manager Pune (India)
🏢 eClerx
📍 India