- Strong experience with Amazon Redshift (Candidates with strong Snowflake or Google Big Query experience can also be considered.)
- Advanced SQL skills with experience writing and optimizing complex queries.
- Solid understanding of Data Warehouse concepts and Dimensional Modelling (Star & Snowflake Schemas).
- Strong hands-on experience with Python for data engineering and automation.
- Excellent Data Analysis and problem-solving skills.
- Experience with Git-based CI/CD (Git Hub/Git Lab).
- Experience leveraging AI-assisted development tools (Git Lab Duo, Gemini, Copilot, ChatGPT, or similar) to improve engineering productivity.
Preferred Skills
- Experience with orchestration tools such as Apache Airflow, Mage, or equivalent.
- Hands-on experience with AWS services such as S3, RDS PostgreSQL, and IAM.
- Experience with dbt.
- Experience supporting production data pipelines, troubleshooting issues, and handling day-to-day engineering operations.