Senior Engineer - Data Analytics

About the role

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support enterprise analytics, reporting, and AI initiatives. The role involves developing ETL/ELT pipelines, integrating multiple data sources, and transforming raw data into high-quality, analytics-ready datasets.

What you'll do

• Develop and maintain ETL/ELT pipelines using tools such as Azure Data Factory, Databricks, Snowflake, or similar data integration platforms
• Build scalable data ingestion pipelines to collect structured, semi-structured, and unstructured data from multiple enterprise sources
• Implement batch and streaming data pipelines to support analytics and reporting requirements
• Transform and process raw data into clean, structured, and analytics-ready datasets
• Support the development and maintenance of data lakes, data warehouses, and lakehouse architectures

What you need

• 2–5 yrs of experience
• SQL
• Data analysis
• ETL
• Snowflake
• Python
• Databricks
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Machine learning
• Spark
• Kafka
• Airflow
• Data modelling
• AWS