Data Engineer
Summary
Data Engineer designing and developing scalable ETL pipelines and data solutions using Azure Databricks, Data Factory, Data Lake, SQL, Python, and PySpark.
We at ValueMomentum are looking for talented Data Engineers who can join immediately or within 1 week. who are Available for Drive on Sep 5th Saturday
Role: Data Engineer
Experience: 3–6 Years
Mode of Interview: Virtual Followed by Face-to-Face Interview
Employment Type: Permanent
Work Mode: Work from Office (4 days/week)
Locations: Hyderabad
Notice Period: Immediate Joiners to 1 Week Joiners preferred
If you’re interested or know someone who would be a good fit, please fill out the form using the link below. This will help us connect with you easily.
Data Bricks Drive for 3 to 5 Years Experience Sep 5th- only for immediate Joiners – 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.