Software Engineer - Big Data Engineer

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About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday 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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Name of the position: Big Data Engineer

Reports to: Team Lead/Delivery Manager

Department/Project: Engineering

Job description:

As a Bigdata 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 an aggressive, innovative environment for our client.

Investigate, build, and implement the solutions for many technical challenges using innovative technologies, including building/improving Bigdata processing platform enabling work of software used by hundreds of millions of users.

Key responsibilities:

• Acquires 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 timeline and required quality objectives.
• Provides estimations, agrees task duration with the manager and chips in to project plan of assigned area.
• Evaluating existing data systems.
• Developing standard methodologies 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.
• Solving 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 responsibilities.
• Responsible for resolving crisis situations within responsibilities.
• Initiates and conducts code reviews, builds code standards, conventions, and guidelines.
• Suggests technical and functional improvements to contribute to the product;
• Constantly improves their professional level.
• Collaborates with other teams.
  
  
  

Required Skills

• Proven experience as Bigdata Engineer.
• Proven Python and Java coding skill with 5+Years of experience.
• Established big-data systems experience in Hadoop, Spark/SparkSQL, HiveSQL
• Experience with large-scale graph data storage
• Strong OOP skills
• Effective communication (oral & written), collaboration, and communication skills
• Result oriented approach
  
  
  

Would be a plus:

• Experience with Airflow, Apache Atlas
• Experience with AWS.
• Experience with Kafka.
• Experience with JavaScript and Go.