Role & responsibilities
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 up-to-date 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 Hyderabad (India)
🏢 Hitachi Digital Services
📍 India