Job Description

About the job youre considering
As Senior Software Engineer, you will work on one of the world's largest social media platform which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.
Investigate, create, and implement the solutions for many technical challenges using cutting edge technologies, including building/enhancing Data processing platform enabling work of software used by hundreds of millions of users.
Your Role:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• Evaluating existing data systems.
• Developing best practices for data coding to ensure consistency within the system.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Understand the business drivers and analytical use-cases and translate these to data products
• Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR.
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
• Suggests technical and functional improvements to add value to the product.
• Constantly improves his/her professional level.
• Collaborates with other teams.
• Design and implement Fine Grained Access Control system for Clients big data platform (Spark, Flink, PyTorch, Ray and other ML/AI frameworks)
• Improve and customize the internals of open source Spark to meet our challenges at scale and actively participate in open source community.
• Build and scale big data processing frameworks and infrastructure to process petabytes-scale datasets

Your skills and experience:

• 5+ years of experience as Software Engineer with Solid Java coding skill .
• 3+ years of experience of building and support large scalable big data infrastructure/platform\
• Strong experience with Spark
• Knowledge of big data technologies (e.g. Spark, Hadoop, Parquet/ORC, Flink)
• Ability to organize and document solutions.
• A passion for streamlining systems and processes to make the difficult trivial with Strong OOP skill.
• Would be a plus to have experience in AWS & K8S.

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:

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location-based flexibility
• Company-provided home office equipment
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high-impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest

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 xe2x82xac22.5 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
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 Canada 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 Canada by Capgemini.
Qualifications

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• Evaluating existing data systems.
• Developing best practices for data coding to ensure consistency within the system.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Understand the business drivers and analytical use-cases and translate these to data products
• Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR.
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
• Suggests technical and functional improvements to add value to the product.
• Constantly improves his/her professional level.
• Collaborates with other teams.
• Design and implement Fine Grained Access Control system for Clients big data platform (Spark, Flink, PyTorch, Ray and other ML/AI frameworks)
• Improve and customize the internals of open source Spark to meet our challenges at scale and actively participate in open source community
• Build and scale big data processing frameworks and infrastructure to process petabytes-scale datasetsObtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• Evaluating existing data systems.
• Developing best practices for data coding to ensure consistency within the system.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Understand the business drivers and analytical use-cases and translate these to data products
• Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR.
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
• Suggests technical and functional improvements to add value to the product.
• Constantly improves his/her professional level.
• Collaborates with other teams.
• Design and implement Fine Grained Access Control system for Clients big data platform (Spark, Flink, PyTorch, Ray and other ML/AI frameworks)
• Improve and customize the internals of open source Spark to meet our challenges at scale and actively participate in open source community
• Build and scale big data processing frameworks and infrastructure to process petabytes-scale datasets