Job Description
The candidate should possess the following: At least (2) years of hands-on experience as Azure Data Engineer using:
Azure Data Factory Azure Synapse Analytics / Datawarehouse
Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate
At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- At least (3) years of hands-on experience in
- Providing technical support (80%) enhancements (20%) for existing applications in Azure
(Team has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the teams dynamics. The role requires someone capable of directly addressing system issues and resolving them. Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem. The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)
Good to have following skills
Knowledge of Azure Databricks
Data modelling in Azure Analysis Services using star and snowflake schema.
Knowledge of writing DAX query to create measures dimensions.
Python Coding Experience
Non-Technical Skills Requirements (Business Skills) At least (3) years of relevant experience in:
Business Requirement Analysis.
EA Number: 11C4879