Capgemini · 6 hours ago
Senior Data Engineer
New York, United States
Full-time
Hybrid
Mid, Senior Level
4+ years expCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. They are seeking a Senior Data Engineer responsible for building reliable and scalable data infrastructure to enable organizations to derive meaningful insights and make data-driven decisions.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse
Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions
Help architect data pipelines for the underlying data warehouse and data marts
Design and develop very complex ETL pipelines in Google cloud Data environments
Maintain detailed documentation of your work and changes to support data quality and data governance
Support QA and UAT data testing activities
Support Deployment activities to higher environments
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Qualification
Required
4 to 8+ years of data engineering experience developing large data pipelines in very complex environments
Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
Exposure to Teradata and ability to understand complex Teradata BTEQ scripts
String Python programming skills
Strong Skills on build Airflow Jobs and Debug issues
Ability to Optimize the Query in BigQuery
Hands-on experience on Google Cloud data Technologies (GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)
Preferred
Experience with cloud data warehouse technology BigQuery
Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)
Nice to have exposure to Teradata
Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs
Writing and maintaining large Data Pipelines using Custom ETL framework
Ability to Automate Jobs using Python
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Very good experience with Code Version control repository like Github
Good Scripting skills, including Bash scripting and Python
Familiar with Scrum and Agile methodologies
Problem solver with strong attention to detail and excellent analytical and communication skills
Ability to work in Onsite / Offshore model and able to lead a Team
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas SBU | Member of the Group Executive Board
Recent News
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