Data Engineer

Department: Software & Data Services (SDS)
Experience: 5+ Years
Employment Type: Full time

Role Overview

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data infrastructure and data pipelines. The candidate will work closely with Data Engineers, Power BI Developers, and business stakeholders to deliver reliable data solutions, data products, and BAU activities.

Key Responsibilities
Develop and maintain data warehouses, data lakes, and data pipelines.
Design and implement scalable ETL/ELT pipelines to move data from multiple sources to the data warehouse.
Work with stakeholders to understand data requirements and develop appropriate technical solutions.
Develop data quality and validation processes to ensure accuracy, consistency, and reliability.
Automate repetitive data processing and data engineering activities.
Develop and support new data products and services.




Perform troubleshooting and root-cause analysis for data pipeline and data quality issues.
Collaborate with Power BI Developers and other Data Engineers to provide reliable and well-structured datasets.
Follow best practices for data modeling, data governance, documentation, and pipeline development.

Mandatory Skills
5+ years of experience in Data Engineering
Strong hands-on experience with Python
Robust SQL skills
Experience with MS SQL Server / MSSQL
Strong understanding of Data Warehousing
Experience in Data Modeling
Hands-on experience developing ETL/ELT and Data Pipelines
Experience with Data Quality / Data Validation
Experience with Microsoft Fabric
Experience with Informatica ICS
Robust problem-solving and analytical skills

Good to Have
Power BI
Data Lakes
Azure Data Services
Azure Data Factory
Power BI Dataflows
Data automation and orchestration tools

📌 Data Engineer Hyderabad
🏢 Nisum
📍 Hyderabad