Data Engineer
Summary
Design and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
We at Value momentum looking for Senior/Lead Data Engineer. Quick Joiners preferred
Role: Senior/Lead Data Engineer
Experience: 4.5 –10 Years
Skills Required: Data Bricks, Pyspark, SQL, Delta Live Tables, Azure Data Factory
Employment Type: Permanent
Interview Process: Virtual and Must be Available for Face-to-face Interview
Work Mode: Work from Office (4 days/week)
Locations: Hyderabad, Pune, Bangalore, Coimbatore
Notice Period: Immediate to 30 days preferred
Interested or know someone who fits the role? Please refer them. Complete the form below with the required details, and we'll get in touch.
August Data Bricks – Fill out form
Role Overview:
You will be responsible for designing and developing scalable data pipelines using Azure Databricks, Data Factory, and Data Lake, along with building ETL solutions and enabling data-driven insights.
- Design and develop ETL pipelines using ADF for data ingestion and transformation.
- Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.
- Write SQL, Python, and PySpark code for efficient data processing and transformation.
- experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.
- Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.
- Experience in SQL, Python, and PySpark for data transformation and processing. Familiarity with DevOps and CI/CD deployments.
Regards,
Anil Kumar
anil.katta@valuemomentum.com