Senior Data Engineer

SQL, Databricks, and Microsoft Fabric – foundational tools for data modelling, ETL, and data pipelines

ETL Development & Data Automation – experience building and maintaining robust data pipeline

CI/CD & Azure DevOps – managing code repositories and deployment workflows

Cloud Platforms – proficiency in Azure services including Data Factory, Blob Storage, Data Lake, and Azure SQL

Data Modelling & Architecture – ability to design scalable data models for consumption layers

Data Warehousing & Real-Time Processing – familiarity with tools like ADF

Experience

3–5 years in data engineering roles, ideally within supply chain or logistics environments

Agile Methodology – working in sprint cycles and collaborating with cross-functional teams

Data Lifecycle Ownership – from ingestion (bronze layer) to modelling and consumption (gold layer)

Collaborative Mindset – working closely with product owners, QA, and developers to align on business goals

Job Type: Full-time

Pay: ₹600,000.00 - ₹1,200,000.00 per year

Work Location: In person