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Senior Azure Data Engineer
2 months ago
Roles and Responsibilities :
- Build ETL & data pipelines using Azure Data Factory & Databricks to help feed the data into data products/dashboards.
- Automate processes and workflows to drive efficiencies for client.
- Liaise with different stakeholders on ad-hoc analyses and monitor the entire DWH/Data Lake.
- Working with stakeholders to gather requirements, provide efficient data solutions and designing the build.
- Use best practices to deliver results, efficiency and quality for data and visualization requirements.
- Collaborate and support the analytics team to help them understand the data flow.
Desired Profile :
- Design data pipelines with Azure services including Azure Data Factory and Databricks.
- Strong expertise and experience on transforming data using PySpark scripts and SQL queries.
- Creating data models/data objects in Azure Synapse/DWH/DB supporting BI/client reporting.
- Understanding of data architecture, data modeling, DWH and ELT/ETL concepts.
Good to have Skills :
- Scripting languages like Python.
- Exposure in big data technologies.-
- Exposure in BI tools (e.g. Tableau, Qlik).
Basic Qualifications :
- BE/B.Tech/Masters in Computer Science/ Information Technology.