Supports maintenance and enhancement of existing ETL/ELT data pipelines, transformations, and datasets using SQL, Python, and Databricks
Contributes to updates of data models and curated data layers to improve reliability, consistency, and usability of established analytics assets
Assists with development and maintenance of BI datasets, semantic models, and reports
Performs data validation, reconciliation, and quality checks within existing ETL/ELT processes
Translates defined business requests into structured technical requirements with guidance
Documents data logic, transformations, and metric definitions, including workflows within ETL/ELT pipelines

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience
2+ years of experience in supporting data, analytics, or reporting solutions, including hands‑on use of SQL, Python, and Databricks (or similar) to query, transform, and validate structured data
Experience with ETL/ELT processes, supporting data pipelines, transformations, and data quality checks
Experience with BI tools (e.g., Power BI, Cognos, Tableau, etc.)
Proficient in SQL and Python for data querying, transformation, and validation
Working knowledge of Databricks or similar cloud analytics platforms
Understanding of ETL/ELT processes, including data quality validation techniques

Associate Data Enablement Engineer II

Key skills