Job Description – Senior Data Engineer / Consultant
About GyanSys:
GyanSys is a global systems integrator and technology consulting company that helps enterprises accelerate digital transformation through SAP, Cloud, Data & Analytics, AI, and Intelligent Automation solutions. We partner with leading technology providers to deliver innovative, scalable, and business-driven solutions across diverse industries worldwide.
Senior Data Engineer / Consultant
Location: Bengaluru | Pune | Hyderabad
Employment Type: Full-Time
Experience: 4+ Years
Joining: Immediate Joiners Preferred
Job Summary
GyanSys is looking for experienced Senior Data Engineers / Consultants to join our growing Data & Analytics practice. The ideal candidate will have strong hands-on experience in designing, developing, and optimizing enterprise-scale data engineering solutions across up-to-date cloud and data platforms.
The role requires expertise across technologies such as Microsoft Fabric, Azure Data Engineering, Databricks, PySpark, Apache Spark, Python, SQL, and cloud data platforms .
The candidate will work closely with architects, business stakeholders, data scientists, and cross-functional teams to build scalable data pipelines and analytics solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines for enterprise data platforms.
- Develop data engineering solutions using Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python .
- Build data pipelines for structured, semi-structured, and unstructured data .
- Work with Microsoft Fabric components such as Fabric Data Factory, Lakehouse, Warehouse, Dataflows, and Notebooks.
- Develop and optimize Databricks notebooks, Spark jobs, Delta Lake pipelines, and Databricks Workflows .
- Implement Medallion Architecture and modern Lakehouse/Data Platform architectures.
- Integrate data from multiple sources including SQL Server, Oracle, PostgreSQL, APIs, cloud storage, ERP systems, and SaaS app
📌 Senior Data Engineer (India)
🏢 GyanSys
📍 India