Careernet
Data Engineering & BI Analytics
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
22 September 2026
What they need
Key Skills: Microsoft Fabric, Azure Data Factory, Azure Databricks, SQL Server, OneLake, Lakehouse, PySpark, ETL, Data Engineering
Roles & Responsibilities:
- Design and implement ETL workflows in Microsoft Fabric, including data ingestion, transformation, and orchestration.
- Build and manage Lakehouse architecture, OneLake, and data models for analytics.
- Optimize data processing performance using PySpark and distributed computing techniques.
- Establish data quality, governance, security, and monitoring across data pipelines.
- Lead technical delivery, data migration, and solution design for BI analytics projects.
Experience Required:
- 5-12 years of experience in Data Engineering and BI Analytics.
- Strong experience with Microsoft Fabric, ETL development, and data pipelines.
- Hands-on experience with OneLake, Lakehouse, and SQL Server.
- Experience with data orchestration, governance, and secure data processing.
- Good to have experience with Azure Databricks, PySpark, and Azure Data Factory.
Education: B.E.
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