• 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.
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, a deep understanding of data best practices, strong analytical skills, communication, and user engagement skills. Experience in data development is essential.
• 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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