Product Software Engineer - Software Engineer

at  CAPGEMINI ENGINEERING

REQUIRED SKILLS:

• 3+ years of experience of building and support large scalable big data infrastructure/platform
• 5+ years of experience as Software Engineer with Solid Java coding skill .
• Strong experience with Java
• 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
• Strong OOP skills
• Effective communication (oral & written), collaboration, and interpersonal skills
• Result oriented approach
• Experience with AWS & K8S is a plus.

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

KEY RESPONSIBILITIES:

• 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 Client’s 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