Consultant | Data analysis | Delhi | Technology Strategy & Transformation

About the role

We are seeking a highly motivated Data Engineer with 3–5 years of experience in designing, developing, and optimizing modern data platforms using Databricks, Data Vault, PySpark, SQL, and Azure . The ideal candidate should have strong expertise in building scalable data pipelines, implementing Data Vault modeling, and supporting enterprise data warehousing and analytics initiatives.

What you'll do

• Design, develop, and maintain scalable data pipelines using PySpark and Databricks
• Implement and manage Data Vault 2.0 models, including Hubs, Links, and Satellites
• Develop ETL/ELT processes for ingesting, transforming, and loading structured and unstructured data
• Build and optimize complex SQL queries, stored procedures, and data transformations
• Ensure data quality, consistency, security, and governance across enterprise data platforms

What you need

• 3–5 yrs of experience
• Data analysis
• SQL
• Stakeholder management
• ETL
• Databricks
• Spark
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Azure
• Data warehousing
• Azure Data Factory
• CI/CD
• Data modelling
• Git