Referral Only - Senior GCP Data Engineer

Capgemini
Atlanta, GA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$73,150.0 - $174,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence BigQuery Cloud Storage Code Reuse Continuous Integration Data Architecture Extract Transform Load (ETL) Data Security Data Flow Control Github
+15 more
Python (Programming Language) Cloudera SQL Databases Data Streaming Enterprise Data Management Google Cloud Apache Spark Apigee Fastapi Information Technology Deployment Automation Apache Kafka Data Management Api Design Data Pipelines

Job description

Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.

Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.

Implement best practices for data security, governance, CI/CD, and automated deployment.

Collaborate with data engineers, architects, data scientists, and business stakeholders.

Produce high-quality, reusable code and mentor team members on best practices.

Support testing, deployment, monitoring, and production troubleshooting.

Requirements

Do you have experience in SQL?, Do you have a Master’s degree?, We are seeking a Senior Staff Data Engineer - API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments, 7+ years of IT experience with 5+ years in Data Architecture.

Minimum 2+ years of hands-on experience with Google Cloud Platform.

2+ years of API development experience

Solid understanding of Agile methodologies

Strong problem-solving, communication, and collaboration skills

Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.

Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.

Experience with CI/CD, Git/GitHub, and Agile methodologies.

Strong communication skills and ability to mentor junior engineers.

Preferred

Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.

Google Cloud Professional Data Engineer Certification.

Bachelor’s degree in computer science or related field (Master’s preferred).

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Employee assistance program
  • Disability insurance, The base compensation range for this role in the posted location is $73,150 to $174,000

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 the company

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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