Role & responsibilities

- Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration frameworks across multiple data sources.

- Build and optimize enterprise data warehouses, data lakes, and lakehouse architectures to support analytics and reporting requirements.

- Collaborate with business stakeholders to gather requirements, define KPIs, and translate business needs into data solutions.

- Solid experience designing and implementing enterprise data engineering and analytics solutions.

- Expertise in SQL and advanced database concepts, including query optimization, indexing, partitioning, and performance tuning.

- Hands-on experience with ETL/ELT tools such as Azure Data Factory, SSIS, Informatica, Talend, Matillion, or similar platforms.

- Strong experience with cloud data platforms including Azure, AWS, or Google Cloud.

- Proficiency in data warehousing concepts, dimensional modeling, star schemas, and data lake architectures.

Location: Mohali, Punjab

📌 Senior Data Engineer (Chandigarh)
🏢 IT consulting
📍 Chandigarh