- 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations. 
- Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.). 
- 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI). 
- Expertise in Python and Spark for data extraction, manipulation, and data pipeline development. 
- Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV). 
- Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira). 
- Ability to collaborate with data scientists and business analysts, providing data support and insights. 
- Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives.