We are looking for an experienced Data Engineer with strong hands-on expertise in Informatica, Data Warehousing, SQL, ETL, Microsoft Fabric, Python, and Power BI.
The candidate will be responsible for designing, developing, and maintaining scalable data integration and data engineering solutions. The role involves building reliable ETL pipelines, developing data warehouse solutions, working with Microsoft Fabric, and supporting analytics and reporting requirements.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines using Informatica and other data integration technologies.
Develop and maintain data warehouse solutions to support enterprise reporting and analytics.
Develop complex SQL queries, stored procedures, views, functions, and data transformations.
Work with Microsoft Fabric for data ingestion, transformation, storage, and analytics.
Develop and maintain data pipelines across multiple data sources and target systems.
Use Python for data processing, automation, validation, and engineering activities.
Work closely with Power BI developers to provide clean, reliable, and optimized datasets.
Perform data profiling, cleansing, validation, reconciliation, and quality checks.
Design and implement data models to support reporting and analytical requirements.
Troubleshoot ETL failures, data quality issues, and pipeline performance problems.
Optimize ETL processes and SQL queries for performance and scalability.
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.




Follow best practices for data engineering, data quality, documentation, coding, and data governance.
Participate in development, testing, deployment, and production support activities.

Mandatory Skills

5+ years of experience in Data Engineering / ETL
Professional-level experience with Informatica / IICS
Robust experience in Data Warehousing
Robust hands-on SQL experience
Professional-level experience with Microsoft Fabric
Intermediate-level Python programming skills
Strong hands-on experience with ETL/ELT
Intermediate-level Power BI knowledge
Strong coding and problem-solving capabilities
Experience developing and supporting production-grade data pipelines

Technical Skills

Primary Skills:
Informatica / IICS
ETL / ELT
SQL
Data Warehousing
Microsoft Fabric
Python
Power BIGood exposure to:
Data integration
Data modeling
Data quality and validation
Data pipelines
Data transformation
Data automation
Reporting and analytics

Candidate Profile

The ideal candidate should:
Have 5+ years of relevant Data Engineering experience.
Be strong in Informatica and ETL development.
Have solid understanding of Data Warehousing and SQL.
Have hands-on experience with Microsoft Fabric.
Be comfortable using Python for data engineering and automation.
Understand how data pipelines support Power BI and analytics.
Demonstrate strong coding, analytical, troubleshooting, and problem-solving skills.
Be able to work independently as well as collaborate with Data Engineers, BI Developers, and business stakeholders.

📌 Data Engineer (Bhubaneswar)
🏢 Nisum
📍 Bhubaneswar