Data Engineering & BI Analytics

Careernet; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Careernet is seeking an experienced Data Engineer to design and implement ETL workflows using Microsoft Fabric, build Lakehouse architectures with OneLake, and optimize data processing with PySpark in a Bengaluru-based role.

The candidate will lead BI analytics projects, ensure data governance and security, and drive scalable data solutions for analytics-driven decision making. BE degree required with 5–12 years of relevant experience.

Qualifications

• 5–12 years of Data Engineering and BI Analytics experience.
• Strong hands-on in data pipelines, ETL development and orchestration.
• Experience with OneLake, Lakehouse and SQL Server is required.
• Familiarity with data governance, security and quality practices is preferred.
• Nice-to-have Azure Databricks and PySpark experience.

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.

Education

B.E./B.Tech in relevant field

Tools

Microsoft Fabric

Azure Data Factory

Azure Databricks

SQL Server

OneLake

Lakehouse

PySpark

ETL

Data Engineering

Job description

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.