Job description

What you will do

Let's do this. Let's change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules.

Roles & Responsibilities:

Design, develop, and maintain data solutions for data generation, collection, and processing
Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve complex data-related challenges
Adhere to standard processes for coding, testing, and designing reusable code/component
Participate in sprint planning meetings and provide estimations on technical implementation
As a SME, work with the team on MDM related product installation, configuration, customization and optimization
Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures
Review technical model specifications and participate in data quality testing
Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality
Create and maintain system specific master data data-dictionaries for domains in scope
Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery
Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management
Develop and deliver solutions individually or as part of a development team
Approves code reviews and technical work
Maintains compliance with change control, SDLC and development standards
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Master's degree and 1 to 3 years of Computer Science, IT or related field experience OR
Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience OR
Diploma and 7 to 9 years of Computer Science, IT or related field experience.

Preferred Qualifications:

Expertise in architecting and designing Master Data Management (MDM) solutions.
Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance.
Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence.
At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL.

Good-to-Have

Skills:

Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.
Good understanding of data modeling, data warehousing, and data integration concepts.
Experience with development using Python, React JS, cloud data platforms.
Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments).

Soft Skills:

Excellent critical-thinking and problem-solving skills
Good communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills.

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