Senior Data Engineer

Senior Data Engineer | MSBI + Hadoop | Pune
Location: Pune

Work Model: Hybrid 3 days/week onsite

Experience: 5 - 8 years

We are looking for a Senior Data Engineer with strong hands-on experience in Microsoft BI (MSBI), Oracle and the on-prem Hadoop ecosystem.

This is a core development role (7080% development) focused on building and deploying enterprise data and analytics solutions. We are specifically looking for candidates who combine strong MSBI development with practical data engineering experience.

Must-Have Skills

• MSBI: SSIS, SSAS, Power BI
• Strong SQL and Oracle experience
• On-prem Hadoop ecosystem experience
• Working knowledge of Hadoop/HDFS and Hadoop file formats
• Apache Spark / PySpark
• Apache Airflow for data pipeline orchestration
• Data Warehousing / ETL / data modelling
• Experience developing and supporting enterprise BI/data solutions
• Agile/Scrum and Jira

Good to Have

• Microsoft Fabric
• Azure/cloud data platforms
• Tableau exposure
• GenAI / Copilot / Claude experience applied to data engineering
• Banking, payments or financial-services domain experience

What You'll Do

• Design and develop scalable BI and data engineering solutions
• Build and maintain SSIS ETL pipelines and SSAS/Power BI data models
• Work with Oracle and Hadoop-based data sources
• Use Spark/PySpark for data extraction and transformation
• Develop/orchestrate data pipelines using Airflow
• Support migration/evolution of data workloads from Oracle toward Hadoop
• Participate in Agile ceremonies, technical discussions and solution design
• Provide production support and troubleshoot data/BI issues through Jira/ITSM

Ideal Candidate

A strong fit would be a BI/Data Engineer with MSBI + Oracle + Hadoop experience, who has hands-on exposure to Spark and Airflow and is comfortable working in an on-prem enterprise data environment.

Important: This is not an Azure Data Engineer / cloud-only role.

Azure, Fabric or cloud certifications alone will not qualify. Candidates whose experience is primarily Domo, Tableau, WebFOCUS, analyst/BI reporting, or cloud-only data engineering will not align with the requirement.