071946-Senior Data Engineer Jobs

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, Defence, 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 €22 billion.
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What you’ll do:

• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• 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, create, and implement the solutions for existing technical challenges, including building/enhancing the frameworks and tools used by other development teams.
• Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
• Performs research, design, implementation and support tasks as a member of Capgemini team. Works in accordance with poject guidelines, quality standards and code conventions.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
• Suggests technical and functional improvements to add value to the product;
• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Responsible for resolving crisis situations within his/her AOR.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Addresses area-level risks, provides and implements mitigation plan.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Constantly improves his/her professional level.
• Collaborates with other teams.
• If required, make yourselves available for the visits to the client location.

What you’ll have:

• Result oriented approach
• 2+ years' experience in one or more open-source Big Data technologies (Hadoop, Spark/SparkSQL, HiveSQL, Presto, Kafka)
• Experience with large-scale graph data storage
• Good English (oral & written) and communication skills in general
• Rigor in high code quality, automated testing, and other engineering best practices
• University degree in Computer Related Sciences or similar
• Effective communication, collaboration, and interpersonal skills
• Strong OOP skills
• 3+ years of solid commercial Python and Java coding experience
• Experience with big data workflow orchestration engines for ETL jobs, such as Airflow

Bonus Points:

• Large-scale graph data storage.
• Apache Atlas
• Strong Python and Java
• JavaScript and Go
• AWS S3/EC2
• Experience with AWS
• Big Data Stack (Hadoop, Hive/HiveSQL, Presto, Spark/SparkSQL, and so on)
• Experience implementing Apache Atlas or similar

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