Designs and maintains scalable ETL/ELT pipelines, data transformations, ingestion workflows, and integrations using Python, SQL, and Snowflake. Optimizes queries and processing for large datasets, supports data warehousing and modeling, ensures data quality and reliability, troubleshoots pipeline issues, and contributes to data architecture best practices while collaborating with data scientists, analysts, and stakeholders.
- 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.
- 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
eClerx LLC Mumbai, Maharashtra, IND Office
Express Towers, 4th Floor, Ramnath Goenka Marg, Nariman Point, Mumbai, Maharashtra, India, 400021
eClerx LLC Navi Mumbai, Maharashtra, IND Office
Building # 11, 2nd, 3rd, 4th, 5th & 6th Floor, K Raheja Mindspace, Plot #3 TTC Industrial Area, Thane Belapur Road, Airoli, Navi Mumbai, India, 400708
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