18 days ago
Base Salary
$81k - $90k/yr
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
- Build scalable data solutions for analytics, reporting, and operational use cases.
- Develop and optimize data models, database schemas, storage structures, data warehouses, data lakes, and lakehouse platforms.
- Integrate data from multiple internal and external systems and applications.
- Implement data validation, cleansing, transformation, quality assurance, governance, security, and compliance processes.
- Monitor, troubleshoot, and optimize data pipelines for 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.
- Document data architectures, data flows, technical designs, and operational procedures.
- Participate in code reviews and promote engineering best practices and continuous improvement.
Requirements
- 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 of Python, Java, or Scala.
- Experience with relational and NoSQL databases.
- Strong understanding of data modeling, data warehousing, and modern data architectures.
- Experience with cloud-based data platforms and big data technologies.
- Knowledge of data governance, data quality, and security best practices.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is preferred.
- Experience with modern data lake and lakehouse architectures is preferred.
- Familiarity with Spark, Databricks, Snowflake, or similar data technologies is preferred.
- Experience with CI/CD, DevOps, and workflow orchestration tools is preferred.
- Strong analytical, problem-solving, and communication skills.
Benefits
- Paid time off based on employee grade, including 12-25 vacation days, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Regular full-time employee benefits are comprehensive and non-negotiable.
- Job location is Whippany, New Jersey, with onsite/hybrid work from day one.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.