Senior Big Data Engineer

Capgemini Engineering is a world leader in engineering and R&D services. We combine our broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Every day, we help our clients to accelerate their journey towards Intelligent Industry.

At Capgemini, we are responsible and diverse. Our organization has a strong 55-year heritage and deep industry expertise. Our clients trust us to address the entire breadth of their business needs—from strategy and design to operations. Our actions are fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

The Client is a global visual inspiration social media platform used by people around the world to discover and personalize visual content. Today, more than 450 million people come to the platform every month to explore and experience billions of ideas that have been saved.

The project is all about large-scale Data processing. As a Senior Engineer, you will work on one of the world's largest social media platforms which deals with a few petabytes of data coming to the system daily. You will contribute as part of an R&D self-organized team working in a challenging, innovative environment for our client. You are going to Investigate, create, and implement the solutions for many technical challenges using cutting-edge technologies, including building/enhancing a Big Data processing platform enabling the effective functioning of software used by hundreds of millions of users.

The Team is international; all team members are divided into Scrum teams of 5-7 people. You will contribute as part of an R&D self-organized team working in a challenging, innovative environment for our client.

What do you need to start?

• Extensive experience as a Big Data Engineer
• Solid Python and Java coding skill
• Knowledge of JavaScript and/or GO
• Established big-data systems experience in Hadoop, Spark/SparkSQL, HiveSQL
• Experience with large-scale graph data storage
• Strong OOP skills
• Effective communication, collaboration, and interpersonal skills
• Result oriented approach

It's not essential but we appreciate if you also have:

• Experience with Airflow, Apache Atlas
• Experience with AWS.
• Experience with Kafka.

What are you going to do?

• Obtain tasks from the project lead or Team Lead (TL), prepare and design specifications, and approve them with all stakeholders;
• Ensure that assigned tasks are executed within set deadlines and required quality objectives;
• Provide estimations and contribute to the project plan or the assigned area;
• Analyze the scope of alternative solutions and make decisions about the implementation area based on experience and technical expertise;
• Lead the functional and architectural design of the assigned areas, making sure design decisions on the project meet architectural and design requirements;
• Address risks, provide and implement mitigation plans;
• Initiate and conduct code reviews, create code standards, conventions, and guidelines;
• Suggest technical and functional improvements to add value to the product.

What have we prepared for you?

Space where you can develop yourself:

• Focus on Innovation and R&D: while working at Capgemini Engineering, you will be using cutting-edge technologies to work on global international projects (both large-scale ones and start-ups) to gain multi-sector expertise;
• Training/Learning opportunities: external courses, education & certificates co-funding, 70+ certification preparation pathways with further certification (e.g. MS Azure, AWS, Google) on our NEXT learning platform as well as free access to Pluralsight, Service Now, TED Talks, Coursera courses, and virtual trainings.

Our famous atmosphere:

Capgemini Engineering is recognized for its flexibility when it comes to its employees’ preferences, caring for the employees’ well-being, and promoting its own values. We are trying our best to match the project with the talent. We also give our team members an opportunity to choose what career path they want to pursue.

A lot of benefits:

• Elastic working hours/a hybrid working model consisting of 70% remote work and 30% office work (depends on the project, too);
• Private medical care that can be extended by a package of dental services purchased on preferential terms;
• Private life insurance which can be extended by an oncology package purchased on preferential terms;
• Referral bonuses for recommending your friends to Capgemini Engineering;
• Access to our NAIS benefit platform (40+ options available: Netflix, Spotify, Multisport, cinema tickets, etc.);
• Offices in great locations, a car leasing program, carpooling options, and bicycle parking;
• Tax-deductible costs for creative work (KUP).

Who are we?

As an integral part of the Capgemini Group, at Capgemini Engineering we combine world-leading Engineering, Research and Development services with digital manufacturing expertise to create innovative and world-changing solutions on an international scale.

Our team is more than 52,000 engineers and scientists in over 30 countries across sectors including Software & Internet, Data and AI, Aeronautics, Automotive, Railways, Communications, Energy, Life Sciences, Semiconductors, Aerospace & Defense, and Consumer Products.

Do you want to get to know us better?

Visit our website: https://capgemini-engineering.com/en/