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Data Quality Developer

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 15 days ago

No clicks

**Data Quality Developer** at Capgemini leads the modernization and governance of enterprise data platforms. Designs Azure data platform strategies, ensuring high-quality, secure, and scalable data assets for analytics, AI/ML, and business operations. Collaborates with cross-functional teams to build resilient data ecosystems aligning with organizational goals and industry best practices. Key responsibilities include solution design and development, Data Quality (DQ) rule creation, project documentation, and integration testing. Requires proficient understanding of DQ methodology, cloud infrastructure, and relevant DQ tools (e.g., IDQ, OEDQ, Trillium). Experience should span at least 10 end-to-end DQ implementations. This senior role demands strong communication skills, business understanding, and architectural design capabilities.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title Data Quality Lead Azure Data Platform

We are seeking a highly experienced Data Quality Lead to lead the design modernization and governance of enterprise data platforms.

This role is for defining data architecture standards shaping data platform strategy and enabling highquality secure and scalable data assets that analytics AIML GenAI and missioncritical business operations.

You will collaborate closely with business data engineering analytics cloud security and governance teams to build resilient data ecosystems aligned with organizational goals and industry best practices

Job Description - Grade Specific

Main Responsibilities

Solution Design and Development

Should have clear understanding of Business scenarios and converting it to Data Quality Business logic.

Should have a crystalclear understanding of the various scenarios that are being used in the project

Should have skills to convert Business Requirements into Technical Specifications

Design solution using Data Quality product Build Data Quality rule repository Facilitate Data load and synchronization

Develop Data Quality solutions for workflows deduplication validations error handling Complete Data Quality

Project documentation Aid integration tests

Good understanding of DQ methodology and should have experience on at least 10 E2E implementations

Should be capable of designing the architecture and own the E2E implementation of DQ process

Good working experience on SQL data extraction cleansing enrichment transformation rules using multiple DQ tools

Good communication skill for coordination with the other stakeholders for the data quality process implementation

Experience with cloud infrastructure and DQ tools implementation on cloud

Good experience on Unix Administration and configuration of DQ tool and Database Administration

Good to have some experience on reporting tools such as Tableau Power BI Knowledge and experience on one or more of the following tools IDQOEDQIBM QualityStageTrilliumTalend DQ

The architect should coown the overall Data Quality solution and the architecture related deliverables like detailed design document Data Quality data architecture document

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Data Quality Developer

Compensation

Not specified

City: Not specified

Country: Not specified

Capgemini logo
Consultancies

15 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Quality Developer** at Capgemini leads the modernization and governance of enterprise data platforms. Designs Azure data platform strategies, ensuring high-quality, secure, and scalable data assets for analytics, AI/ML, and business operations. Collaborates with cross-functional teams to build resilient data ecosystems aligning with organizational goals and industry best practices. Key responsibilities include solution design and development, Data Quality (DQ) rule creation, project documentation, and integration testing. Requires proficient understanding of DQ methodology, cloud infrastructure, and relevant DQ tools (e.g., IDQ, OEDQ, Trillium). Experience should span at least 10 end-to-end DQ implementations. This senior role demands strong communication skills, business understanding, and architectural design capabilities.

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title Data Quality Lead Azure Data Platform

We are seeking a highly experienced Data Quality Lead to lead the design modernization and governance of enterprise data platforms.

This role is for defining data architecture standards shaping data platform strategy and enabling highquality secure and scalable data assets that analytics AIML GenAI and missioncritical business operations.

You will collaborate closely with business data engineering analytics cloud security and governance teams to build resilient data ecosystems aligned with organizational goals and industry best practices

Job Description - Grade Specific

Main Responsibilities

Solution Design and Development

Should have clear understanding of Business scenarios and converting it to Data Quality Business logic.

Should have a crystalclear understanding of the various scenarios that are being used in the project

Should have skills to convert Business Requirements into Technical Specifications

Design solution using Data Quality product Build Data Quality rule repository Facilitate Data load and synchronization

Develop Data Quality solutions for workflows deduplication validations error handling Complete Data Quality

Project documentation Aid integration tests

Good understanding of DQ methodology and should have experience on at least 10 E2E implementations

Should be capable of designing the architecture and own the E2E implementation of DQ process

Good working experience on SQL data extraction cleansing enrichment transformation rules using multiple DQ tools

Good communication skill for coordination with the other stakeholders for the data quality process implementation

Experience with cloud infrastructure and DQ tools implementation on cloud

Good experience on Unix Administration and configuration of DQ tool and Database Administration

Good to have some experience on reporting tools such as Tableau Power BI Knowledge and experience on one or more of the following tools IDQOEDQIBM QualityStageTrilliumTalend DQ

The architect should coown the overall Data Quality solution and the architecture related deliverables like detailed design document Data Quality data architecture document

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com