Salary
💰 $79,400 - $130,900 per year
Tech Stack
CloudETLNoSQLPythonSQL
About the role
- Assist in the process of managing the availability, usability, integrity security and privacy of the data.
- Implement processes to assure data quality for business purposes
- Perform moderately complex data profiling and analysis and communicate results in support of data quality processes.
- Meet with business customers to develop and maintain business data quality requirements and specifications.
- Perform intermediate to advanced metadata documentation, data lineage, data transformation rules in support of key program deliverables.
- Work with business customers to ensure appropriate naming definitions and standards are being followed.
- Participate in the creation of data models (e.g., entity design and population).
- Perform testing and validation of requirements and/or data management capabilities.
- Demonstrate and apply detailed understanding of overall data models, data relationships, mapping lineage and business rules.
- Create detailed test strategies and test plans.
- Perform moderately complex root cause analysis and resolution of business data issues.
- Gather information across the enterprise and use tools, processes, and workflows to capture knowledge and maintain its relevance.
- Assist with the designing the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
- Perform other duties as assigned.
Requirements
- Experience with ETL / Data Integration tools, one or more Data platforms, and Cloud Computing Technologies and related emerging technology.
- Experience with one or more of the following Tools and languages – SQL, Teradata, Python, Hive, MicroStrategy, Ab Initio, Messaging, NoSQL.
- Ability to understand metadata management, including metadata management, lineage, and cataloging.
- Ability to clearly articulate thoughts and ideas and adjust communication based on audience.
- Ability to leverage previous experience to consider a variety of alternatives to arrive at a timely, practical, and effective solution to resolve business problems.
- Strong collaboration skills with the ability to work with business partners to design and execute priorities and project goals.
- Strong organizational and time management skills with the ability to handle shifting priorities.
- Demonstrated understanding of overall data models, data relationships, mapping lineage and business rules.
- Bachelor’s degree or two years of relevant data and analytics, and/or data management experience.