Found Description
Job Description: Data Engineer – Enterprise Data Platform
Role Summary: The Data Engineer will work closely with data architects, business analysts, governance teams, platform teams, and project stakeholders to implement data pipelines and data models aligned with signed‑off BRD, FRS, and Low‑Level Design documents.
Key Responsibilities
- Develop reusable ETL pipelines using Airflow and dbt Core.
- Build SQL‑based transformation models using dbt-spark or an agreed adapter.
- Implement Bronze → Silver → Gold data transformation flows based on signed‑off designs.
- Develop data cleansing, standardization, aggregation, matching, and enrichment logic for platform and business use cases.
- Support ETL exception handling, retry logic, audit logging, and operational monitoring.
- Implement logical and physical data models across Bronze, Silver, and Gold layers.
- Optimize transformation logic and data models...