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.