Data Engineer

Responsibilities

• Build and maintain the configuration of the data stack within the DevOps framework.




• Develop data objects and write code in and around the data stack




• Interact with upstream and downstream systems and API for data ingestion and egestion




• Build ETL pipelines and data framework for monitoring the pipeline




• Ensure performance, quality and consistency in the data and processes




• Champion good data design practices and promote data quality




• Collaborate and contribute with data architecture, DBA’s and other team members




• Review use cases, data demand, envision future demands to develop data services to support Business needs




• Explore new ways of improving data utilization/ consumption, discovery, and lineage




• Develop and champion data principles and define/ lead efforts for adoption




• Develop tools and functions for cross-system data quality and data cleansing




• Implement data quality metric rules against data assets.




• Create and maintain data quality dashboards




• Establish and develop robust data quality checking and validation and facilitate continuous checks improvement.




• Contribute to implementing new techniques and strategies that will support the achievement of longer-term ambitions.




• Support and lead the various work streams as required for the delivery of the V.Group Innovation strategy and agenda




• Attend other V.Group management offices as required




• Any other tasks as required

Qualifications

You will be experienced working with the Azure data stack, building data pipelines, data warehouses/lakes and performance optimization. You will have strong experience in:

• Microsoft Azure data stack and SQL server, ETL; SSIS and Data Factory




• Stack design and performance optimization.




• Data programming languages: SQL, Spark, C#, Python.

The right candidate will have good attention to detail, deep understanding of data best practices, strong analytical skills, communication, and user engagement skills.

• Experience in data development.




• Strong data background.




• Ability to influence cross-functional teams without formal authority.




• Strong problem‑solving skills along with excellent verbal and written communication skills.




• Bulk data manipulation and import procedures.




• Knowledge of cross‑business data will be a strong advantage.




• Self‑motivated for planning and executing tasks and projects.




• Willing to travel in support of business requirements.

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