Job Description

Job Description:

This position is responsible for developing, integrating, testing, and maintaining existing and new process flows relating to Master Data Management.  Work with the Project Owner/Sponsor to confirm the project scope and goals, objectives and business justification, secure project resources (people and budget) and re-iterate the mandate for the project.

Required Job Qualifications

• 3-7 years SQL experience.
• Experience with scripting languages such as Python/Scala
• Creating, maintaining and updating key project documentation.
• Leading, monitoring and maintaining progress of the project to ensure delivery of goals within the agreed constraints of time, cost and quality.
• Continually assessing potential risks and issues, actively managing remediation and maintaining risk and issue logs, and contingency plans.
• Manage complex dependencies, rules and requirements for data sets.
• Communicate with business stakeholders and subject matter experts.
• Identify interdependencies between the various stakeholder groups to ensure all are aligned and risks are identified, mitigated and communicated
• Background in Healthcare data / Exposure to FACETS
• Data integration experience
• Ability to manage workload and priorities.
• Exposure to Cloud Environments – Azure, AWS, Google
• Comfortable with large data sets
• Understand Pipeline development, deployment and storage (GIT)
• Exposure to SDLC Methodology (Agile / Scrum / Iterative Development).
• Testing / ABC Controls / Logging
• Create and maintain documentation including data mappings, data dictionaries, and workflows
• Troubleshoot issues and performance tune jobs as needed
• Monitor and maintain the processes to ensure optimal performance and data accuracy
• Participate in code reviews, testing, and deployment of ETL jobs
• Coordination of platform maintenance, including change and release management (planned and emergency deployments, configuration, and patching)
• Real-time system monitoring (custom and off-the-shelf tools) and engineer and implement

Preferred Job Qualifications

• Extensive hands-on experience in designing, developing, and maintaining large data solutions on Big Data platform such as Hadoop eco-system.
• 3-7 Years Strong SQL skills are required, with knowledge of Hadoop and Spark structures.
  Extensive knowledge on building and supporting ETL Code
• 3-5 Years Experience with Master Data Management, Audit/Balance/Control, Change Capture, Testing, Data Profiling
  Strong communication skills, with prior experience in requirements gathering and working with SMEs and Stakeholders at various leadership level.
• Knowledge of Data Modeling, Data Warehousing and ETL security and permission schemes
  Exposure to Big Data patterns and data formats.
• Ability to support project and/or product teams on functional and technical design activities; acting as Subject Matter Expert (SME);
  Sharp problem-solving, analytical and innovation skills
• Strong oral/written communication skills with the ability to translate complex ideas into simple language for non-technicians

Qualifications:

• Bachelor’s degree in a relevant field such as information technology, or a related discipline