Senior Data Engineer

About the role

ecosystems. This role will lead the development of Enterprise Data Warehousing, ETL/ELT pipelines, and analytics- ready data models that power reporting and decision-making for our retail, wholesale, and distribution clients. ideal candidate is equally comfortable architecting cloud-native pipelines and partnering directly with business

What you'll do

• Design, build, and maintain scalable Enterprise Data Warehouse (EDW) solutions on Azure (ADF, Databricks, Azure SQL, Microsoft Fabric)
• Develop and orchestrate end-to-end ETL/ELT pipelines using Apache Airflow, Azure Data Factory, and Databricks, ensuring reliability and minimal manual intervention
• Build and optimize PySpark transformations and Delta Lake pipelines to process large-scale datasets into curated, analytics-ready data products
• Design dimensional data models (star/snowflake schemas), fact and dimension tables, and data marts to support sales, inventory, demand, and profitability reporting
• Develop Power BI semantic models, datasets, and interactive dashboards enabling self-service analytics and KPI reporting for business stakeholders

What you need

• 5–9 yrs of experience
• SQL
• Python
• Data warehousing
• ETL
• Pandas
• Databricks
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Informatica
• MongoDB
• PostgreSQL
• DynamoDB
• Spark
• Airflow