Data Engineer
Summary
Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
We at Value momentum looking for Senior /Lead Data Engineer. Looking for only Immediate to 15 Days Joiners
Role: Senior /Lead Data Engineer
Experience: Strictly 6–12 Years
Employment Type: Permanent
Work Mode: Work from Office (4 days/week)
Interview Process: Virtual Discussion Followed by Face-to-face interview.
Locations: Hyderabad, Pune, Bangalore, Coimbatore
Notice Period: Immediate to 15 Days preferred
If you're interested or know someone who would be a good fit, please share your Updated Resume. With the below details
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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