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Capgemini

Global consulting, technology services, outsourcing

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHanover, NJ, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • At least 5 years of experience in Data Engineering, Data Warehousing, or Data Integration.
  • Strong experience with ETL/ELT development and data pipeline design.
  • Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
  • Experience with relational and NoSQL databases.
  • Strong understanding of data modeling, data warehousing, and modern data architectures.
  • Experience working with cloud-based data platforms and big data technologies.
  • Knowledge of data governance, data quality, and security best practices.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data processing.
  • Build scalable and reliable data solutions to support analytics, reporting, and operational use cases.
  • Develop and optimize data models, database schemas, and storage structures.
  • Integrate data from multiple internal and external systems and applications.
  • Develop, maintain, and enhance data warehouses, data lakes, and lakehouse platforms.
  • Implement data validation, cleansing, transformation, and quality assurance processes.
  • Ensure data integrity, governance, security, and compliance across enterprise data platforms.
  • Monitor, troubleshoot, and optimize data pipelines to improve performance, scalability, and reliability.
  • Automate data workflows, scheduling, and operational processes.
  • Support data migration, modernization, and cloud transformation initiatives.
  • Collaborate with Data Scientists, Business Analysts, Product Owners, and Application Development teams to deliver business-driven data solutions.
  • Document data architectures, data flows, technical designs, and operational procedures.
  • Participate in code reviews and promote engineering best practices, standards, and continuous improvement.

Desired Qualifications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with modern data lake and lakehouse architectures.
  • Familiarity with Spark, Databricks, Snowflake, or similar data technologies.
  • Experience with CI/CD, DevOps, and workflow orchestration tools.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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