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Capgemini

Data Engineer

Capgemini

. Acquire, curate, and publish data for analytical and operational uses .

Posted 11/11/2026full-timeHyderabad • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in acquiring, curating, and publishing data for analytical and operational uses, while ensuring data integrity and governance. Proficient in developing scalable data pipelines and API integrations to support reporting and AI/ML applications.

Highest-signal resume keywords
Big Data TechnologiesRelational DatabasesNon-Relational DatabasesCloud EnvironmentsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data MappingNatural Language ProcessingData TransformationsStatistical ComputationsData ValidationData ModelingData FlowsData CleansingAPI IntegrationsData Pipeline Development
Soft Skills
ConsultationProject ExecutionCollaboration
Tools & Technologies
Reporting ToolsAI/ML Tools

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Acquire, curate, and publish data for analytical and operational uses
  • Ensure data is ready to use and creates a single version of the truth across data consumers
  • Consult on basic data projects and contribute to the design, development, and implementation of data products
  • Practice code management and integration with architectural and data governance guidelines
  • Produce data building blocks, data models, and data flows for reporting, dashboards, data feeds, and data science research
  • Create business user access methods to structured and unstructured data
  • Apply data mapping, natural language processing, transformations, AI, statistical computations, and data validation
  • Translate business data stories into technical work breakdowns and estimates
  • Develop and maintain scalable streaming and batch data pipelines
  • Build API integrations
  • Prepare and cleanse data for downstream reporting and AI/ML tools
  • Execute projects within timelines and perform other assigned duties

Requirements

What you’ll need
  • Knowledge of big data technologies
  • Knowledge of relational and non-relational databases
  • Knowledge of cloud environments
  • Knowledge of programming languages
  • Knowledge of reporting tools
  • Ability to acquire, curate, and publish data on premises and in the cloud
  • Ability to translate business analytics requests into design, development, testing, deployment, and production maintenance tasks
  • Ability to develop and maintain scalable streaming and batch data pipelines
  • Ability to build API integrations
  • Ability to cleanse and prepare data for downstream reporting
  • Basic knowledge of data governance concepts

Benefits

Comp & perks
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development