Senior Data Engineer

About the role

This role is responsible for developing high-quality ETL/ELT processes, managing cloud data environments, ensuring data quality, and enabling advanced analytics and reporting across major programs.

What you'll do

• Design, build, and optimize data pipelines using Azure Data Factory and Databricks (pyspark/spark SQL)
• Develop robust ETL/ELT processes to ingest, transform, and validate large volumes of operational, telemetry, incident, and transactional data
• Implement scalable workflows leveraging Azure services such as Data Lake Storage, Azure Synapse, Azure SQL Databases, Key Vault, Logic Apps, and Functions
• Build efficient advanced SQL queries and stored procedures across Azure Synapse and Azure SQL Server
• Collaborate with data analysts, engineers, performance assurance, and operations teams to enable reliable, accurate datasets for reporting, KPIs and predictive analytics

What you need

• 5–9 yrs of experience
• SQL
• Python
• ETL
• Azure Data Factory
• Databricks
• Spark
• B.Tech or B.E.

Good to have

• Machine learning
• Scikit-learn
• MLOps
• LLMs
• Deep learning
• Airflow