About the role
- 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