- Data Pipeline Development : Design, build, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources into the Microsoft Fabric environment.

- Data Transformation & Modeling : Use SQL and PySpark for efficient data wrangling, transformation, and modeling to support business intelligence and analytics initiatives.

- Collaboration : Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions that meet business needs.

- Performance Optimization : Optimize data processes and queries for improved performance and reliability within the Azure ecosystem.

Technical Skills :

Mandatory Skills :

- Microsoft Fabric : Proven experience with Microsoft's Fabric platform.

- SQL : Strong proficiency in SQL for data querying and manipulation.

- PySpark : Expertise in PySpark for large-scale data processing and transformation.

Nice to Have Skills :

- Azure Synapse : Familiarity with Azure Synapse Analytics for data warehousing.

- Power BI : Experience with Power BI for data visualization and building dashboards.

Experience & Education :

- Experience : A minimum of 5- 7 years of experience in data engineering.

- Education : A Bachelor's degree in Computer Science, Data Science, or a related field is preferred