RESPONSIBILITIES

• Design, implement and improve data integration, transformation, and calculation processes;
• Design and maintain optimal data pipeline architecture;
• Write testing plans and routines, manage continuous integration and regression testing processes;
• Be the key person for clearing data for release according to delivery specifications;
• Design, monitor and maintain QA reports, KPIs & quality trends for the internal data systems;
• Create test plans and test cases;
• Define a process to create, monitor, and change/rectify data quality and completeness issues jointly with Business;
• Execute and automate test cases, and perform bug tracking;
• Help create and implement quality processes and requirements;
• Implement data profiling and data quality dashboard metrics;
• Conduct regular sessions with data consumers to assess process, system, and people impacts of data quality changes and issues;
• Document master/reference data and develop rules for maintaining them;
• Conduct regular consultations with business to gain the necessary knowledge of data;
• Develop conceptual business rules and automation process to detect data quality issues against completeness, consistency, and conformity of data;
• Evaluate and recommend data quality tools to implement and maintain processes and policies.

REQUIREMENTS

• Hands-on experience with ETL process design, implementation, and use of ETL tools;
• Good understanding of data processing principles;
• Good understanding of software development lifecycle;
• Good analytical and communication skills;
• Experience in Database development;
• Strong advanced SQL expertise;
• Solid understanding and experience of the principles and operations of high volume, variety, and velocity in business intelligence, data warehousing, reporting, and analytics platforms;
• Strong understanding of Business Intelligence concepts and best practices, with an understanding of its strategic importance to organizations;
• Bachelor in IT-related fields;
• Relevant certifications in the field.

Any of the following will be considered a benefit:

• BI/Data Warehouse solutions experience.