GCP Data Engineer

North Carolina, US

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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Job Description

Title: GCP Data Engineer
Location: Charlotte, NC

Qualifications

8 years of IT experience with proficiency in Data Engineering.
5 years of hands-on experience on various technologies like Spark, Kafka, Hadoop, HDFS, Hive, HBase, Yarn, Beam, SQL Server, Mongo DB, SSIS and ETL Pipelines.
Frameworks Accelerator based development experience.
Knowledge and experience with CI CD Agile tools Source control and designing tools.
Experience working with Agile Methodology.

Responsibilities

Analyse the business requirements and prepare the required user documentation.
Conduct code reviews.
Provide fixes to issues bugs reported from test and production environment.
Provide support during SIT and UAT Support production deployment Fix defects raised in production.
Develop Test and Deploy code, Unit test and fix defects.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 
Flexible work 
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays 
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups 
Disaster Relief

About Capgemini

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
 
Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Engineering ETL GCP Hadoop HBase HDFS Kafka Pipelines Spark SQL SSIS

Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave

Region: North America
Country: United States
Job stats:  1  0  0
Category: Engineering Jobs

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