全职 Senior Data Engineer 工作, 薪水, Capgemini 公司招聘中 - Ricebowl

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

Job Description

The Senior Data Engineer will build and operate reliable data pipelines and curated data assets The role focuses on agency servicing and distribution use cases by enabling high quality governed data products across ingestion transformation validation and deployment stages working closely with Data Product Owners, Data Modelers, Business Analysts, QA, MLOps, CICD LBU technology teams and implementation partners

Key Responsibilities

Data pipeline delivery Build and maintain scalable batch and near real time data pipelines from source systems into curated data layers ensuring reliability auditability and operational side.

Data product implementation Implement data assets required for Agency Data Products including mapping source to target fields applying transformation logic creating reusable datasets and downstream analytics AI consumption

Data quality and controls Embed data profiling validation checks reconciliation logic exception handling and monitoring for reliable data products

Security privacy and compliance Apply required access controls data masking PII handling retention and governance standards in collaboration with Data Governance and Architecture teams

Engineering standards Follow engineering best practices for version control modular code review automated CICD deployment readiness and production handover

Squad collaboration Translate user stories and data requirements into technical and delivery tasks clarify dependencies with business technology data modelers and QA teams

Defect resolution and Investigate data defects performance bottlenecks and production issues provide root cause analysis and permanent fixes

Documentation Maintain technical data lineage data dictionary source mapping runbooks deployment notes and operational documentation

Mentorship Guide mid-level engineers on coding standards review pull requests and unblock technical issues within the squad

Job Description - Grade Specific

1 Data ingestion and transformation pipelines aligned to approved data product backlog

Enable Agency data products for servicing distribution use cases

2 Source to target mapping transformation rules and data lineage documentation

Provide traceability from source systems to curated layer and data product consumption

3 Data quality rules validation reports and reconciliation outputs

Prove completeness accuracy and readiness for downstream test and adoption

4 Unit tested peer reviewed code with deployment and rollback instructions

Help controlled release management and engineering quality

5 Operational runbooks monitoring approach and production handover notes

Enable sustainable production operations after delivery

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.

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