Capgemini

Data Engineer

Capgemini$70K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in Data Engineering
  • 4+ years designing and delivering solutions with Databricks
  • Ability to define and deploy end-to-end data architecture using Databricks medallion architecture
  • Proven experience leading teams in deploying Databricks solutions
  • Expert in PySpark/Python development
  • Strong SQL development expertise
  • Hands-on experience with two of the major cloud platforms: Azure, AWS, or Google Cloud

Responsibilities

  • Build reliable and scalable data infrastructure for data-driven insights
  • Design and implement data engineering solutions using Databricks
  • Lead teams of engineers in deploying high-quality data solutions
  • Create and manage end-to-end data architectures
  • Extract value from complex data sets from various sources
  • Utilize ETL tools for data integration and processing
  • Implement Delta Lake solutions in production environments

Benefits

  • Paid time off: 12-25 vacation days based on grade
  • Medical, dental, and vision coverage
  • Retirement savings plans (401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Comprehensive benefits according to local policy
Full Job Description
Location

Bridgewater ,NJ

Your Role

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
• 6+ Years of Experience in Data Engineering• At least four years of experience designing and delivering data engineering solutions with Databricks
• Ability to independently define and deploy an end to end data architecture that includes Databricks medallion architecture
• Experience leading large teams of engineers and developers to deploy Databricks solutions
• Expert level hands on development knowledge in PySpark/Python
• Expert level hands on SQL development skills
• Hands on cloud platform experience in two of the following cloud platforms: Azure, AWS, Google Cloud
• Prior expertise deploying Delta Lake Solutions into production

Required Skills and Expereince
• Experience extracting value from large and complex sets of data from various sources and databases
• Solid grasp of database engineering and design principles
• Familiarity with CI/CD methods desired
• Background working with orchestration tools, such as Airflow
• Strong knowledge of Unity Catalog
• Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired
• Experienced in managing senior client stakeholders
• Delta Sharing and Marketplace Expertise
• Experience working with Databricks Apps
• Working knowledge of Databricks Genie, AI/BI and Databricks Data Visualization Capabilities

The base compensation range for this role in the posted location is 70,000- 120,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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