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.
Robust 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