Experience & Qualifications

• Seven (7+) years of experience with advanced data management systems (e.g., Teradata, Hadoop, Oracle etc.).
• Seven (7+) years of experience in developing applications in high volume data staging/ETL environments and is proficient in advanced SQL skills.
• Degree in technical or business discipline.
• Knowledge of developing and maintaining formal documentation that describes data and data structure including data modelling.
• Team oriented and flexible with proven track record in collaborating with multiple stakeholders.
• Experience working with DevOps concept.
• Ability to quickly learn new technologies.
• Hands-on experience in Python and Linux

Major Responsibilities

• Providing technical guidance related to data architecture and data models to Digital Architect, senior IT and business leaders.
• Define and implement data flows through and around digital products.
• Define and implement measures to ensure data availability, quality, and completeness for use cases you are part of.
• Participate in Data modeling and testing.
• Extract relevant data to solve analytical problems; ensure your use case team has the required data.
• Working in close cooperation with data scientists, software engineers, and IT architects, as well as data management function to ensure state-of-the-art data quality for use cases.
• Needs to be able to work with a high level of uncertainty and drive for results

Required Competencies

• IM&T Business Analysis Techniques
• IM&T SLA & Service Level Management
• IM&T Analytics
• IM&T Data Science
• IM&T Data Engineering
• IM&T Software Engineering