What You'll Do:

- Design, develop, and maintain robust and scalable data pipelines to support business and analytical requirements.

- Develop and implement data models, data structures, and data warehousing solutions.

- Perform data integration, transformation, and migration activities across multiple data sources.

- Develop and optimize SQL queries, stored procedures, and database objects to ensure efficient data processing.

- Implement data quality checks and validation frameworks to ensure data accuracy, consistency, completeness, and integrity.

- Identify, troubleshoot, and resolve data-related issues and performance bottlenecks.

- Collaborate with business analysts, data architects, and other technical teams to understand data requirements and deliver effective solutions.

What you know

- 6+ years experience in data engineering.





- Strong understanding of data modeling concepts, dimensional modeling, and data warehousing principles.

- Hands-on experience in data quality assurance, data validation, and data reconciliation.

- Robust proficiency in SQL and experience with Python scripting for data processing and automation.

- Hands-on experience with Microsoft SQL Server (MSSQL), including query optimization, stored procedures, and database development.

- Experience with Informatica Intelligent Cloud Services (IICS/ICS), particularly data integration and ETL workflows.

- Good communication skills and the ability to translate business requirements into technical solutions.

📌 Data Engineer (Hyderabad)
🏢 Nisum
📍 Hyderabad