Posted:18 hours ago|
Platform:
Hybrid
Full Time
2. Develop ETL/ELT pipelines to ingest, transform, and load data from diverse sources.
4. Collaborate with BI teams to support dashboarding and self-service analytics.
5. Leverage PySpark for distributed data processing and transformation tasks.
6. Analysis, Develop and implement the components of the Azure Synapse. This includes data models, building designing, creating reports and documentation, connectivity and handling large data ingestions
7. Participating in technical and design decisions for Synapse applications. Provide technical insights and guidance to teams throughout the software development lifecycle.
8. Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our integrated data platform.
9. Collaborate with data engineers, business analyst and other stakeholders to understand data requirements and deliver data-driven solutions.
10. Knowledge of Fabric is good to have.
11. Good communication and Analytical Skill
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