Data Engineer
ValueMomentum Data Engineer
Summary
Senior data engineer role at ValueMomentum focused on designing and developing scalable ETL and analytical data pipelines using Azure Databricks, Azure Data Factory, Data Lake, PySpark, SQL and Delta Live Tables. Permanent position for candidates with 5-12 years experience, office-based 4 days/week in Hyderabad, Pune or Bangalore.
We at Value momentum Looking for
Senior Bricks Data Engineer.
With strong Experience in Data Bricks, Azure Data Factory, SQL, Py spark, Delta Live Tables. Immediate to 30 Days Joiners Immediate joiners are Highly Preferred.
Role:
Senior Data Bricks Engineer Skills required:
Data Bricks, Pyspark, Azure Data Factory, Delta Live Tables, SQL Experience:
5–12 Years Mode of Interview:
Virtual and Face to Face interview Location:
Hyderabad, Pune, Bangalore Work Mode:
Work from Office (4 days/week) Employment Type:
Permanent.
Skills Required:
Data Bricks, Azure Data Factory, Pyspark, SQL, Delta Live Tables 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
Regards, Anil Kumar anil.katta@valuemomentum.com
Senior Bricks Data Engineer.
With strong Experience in Data Bricks, Azure Data Factory, SQL, Py spark, Delta Live Tables. Immediate to 30 Days Joiners Immediate joiners are Highly Preferred.
Role:
Senior Data Bricks Engineer Skills required:
Data Bricks, Pyspark, Azure Data Factory, Delta Live Tables, SQL Experience:
5–12 Years Mode of Interview:
Virtual and Face to Face interview Location:
Hyderabad, Pune, Bangalore Work Mode:
Work from Office (4 days/week) Employment Type:
Permanent.
Skills Required:
Data Bricks, Azure Data Factory, Pyspark, SQL, Delta Live Tables 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
Regards, Anil Kumar anil.katta@valuemomentum.com