Job Description

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 Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of \xe2\x82\xac22 billion.

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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

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Qualifications

Name of the position: Sr. Big Data Engineer (Python)

Purpose of the Job

• Performs research, design, implementation and support tasks as a member of Capgemini team. Works in accordance with project guidelines, quality standards and code conventions.
• Responsible for area/areas within the team area of responsibility (AOR). One of the current team AOR is implement high-performance graph storage solution, integrate listeners into systems like Hadoop, Spark, and internal tools to produce graph nodes and vertices and help build visualizations and traversals of the graphs.
• Investigate, build, and implement the solutions for existing technical challenges, including building/improving the frameworks and tools used by other development teams.

Main Tasks and Responsibilities

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all collaborators.
• Ensures that assigned area/areas are delivered within set timelines and required quality objectives.
• Provides estimations, agrees task duration with the manager and chips in to project plan of assigned area.
• Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
• Responsible for resolving crisis situations within their AOR.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.
• Suggests technical and functional improvements to make valuable contributions to the product;
• Constantly improves their professional level.
• Collaborates with other teams.
• If required, make yourselves available for the visits to the client location.

Required Education and Experience.
Must have:

• University degree or equivalent experience in Computer Related Sciences or similar
• 5+ years of code profiling experience in at least one of the following: Python,
• Big Data tools: Hive, Presto, Spark(pySpark, SparkSQL), Apache Airflow, Apache Iceberg
• Data file formats: Parquet
• Docker, K8s, Git
• Proficiency in both SQL databases and NoSQL databases
• Knowledge of data warehousing concepts and tools
• Familiarity with big data processing frameworks like Apache Spark
• Proficiency in distributed computing and parallel processing
• Ability to organize and document solutions.
• Organising systems and processes to make the difficult trivial.

Would be a plus:

• Experience with Scala
• Experience with AWS

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