- Key Responsibilities: Design and implement data models and pipelines using VaultSpeed to automate Data Vault architecture.
- Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL/ELT).
- Work closely with data architects, analysts, and business stakeholders to ensure accurate and reliable data solutions.
- Automate data ingestion from multiple source systems (batch and real-time).
- Maintain and optimize data warehouse solutions using modern best practices.
- Monitor, troubleshoot, and enhance data processes for reliability and performance.
- Contribute to data governance and metadata management efforts.
- Ensure data quality, lineage, and security throughout the data lifecycle.
- Bachelor s degree in Computer Science, Information Systems, Engineering, or related field.




- 4+ years of professional experience in Data Engineering or similar role.
- Robust expertise in Core SQL (joins, CTEs, window functions, performance tuning, etc.).
- Hands-on experience with VaultSpeed and understanding of Data Vault 2.0 concepts.
- Proficiency in working with modern data warehousing platforms (e.g., Snowflake, Azure Synapse, BigQuery, Redshift, etc.).
- Familiarity with ETL/ELT tools and orchestration frameworks (e.g., dbt, Airflow, Talend, etc.).
- Understanding of data modeling principles (3NF, Star Schema, Data Vault).
- Experience with version control systems (e.g., Git) and CI/CD pipelines.

📌 Data Engineer (Secunderabad)
🏢 Unison Consulting
📍 Secunderabad