- Design and implement Data Vault 2.0 data models including Hubs, Links, and Satellites.
- Develop and maintain data ingestion, transformation, and integration pipelines.
- Build enterprise data warehouses, data marts, and analytical data models. Implement ELT/ETL processes using contemporary data engineering tools.
- Collaborate with business analysts, architects, and stakeholders to gather requirements and translate them into scalable data solutions.
- Ensure data quality, governance, lineage, and auditability across the data ecosystem.
- Optimize data processing performance and cloud resource utilization.
- Develop and maintain technical documentation, data dictionaries, and model standards.
- Support reporting, analytics, and AI/ML initiatives by delivering trusted data assets.
- Participate in code reviews and establish best practices for data engineering Databases & Warehousing SQL Server, Oracle, PostgreSQL, Snowflake, Synapse, or Redshift.
- Data warehouse design and dimensional modeling (Star/Snowflake schemas)
📌 Data Engineer & Data Vault (Bengaluru)
🏢 Hitachi Digital Services
📍 Bengaluru
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