Data Engineer

7 days ago

Santa Clarita, California, United States Capgemini Full time
Job Overview

The ideal candidate will have 3+ years of experience in building and supporting large scalable big data infrastructure/platform, with a strong background in Java and knowledge of big data technologies such as Spark, Hadoop, Parquet/ORC, Flink. They will also have excellent communication skills, the ability to organize and document solutions, and a passion for streamlining systems and processes.

This is a challenging opportunity to work on one of the world's largest social media platforms, contributing to R&D self-organized teams in a dynamic and innovative environment. The successful candidate will be responsible for investigating, creating, and implementing solutions for technical challenges using cutting-edge technologies, including building/enhancing data processing platforms enabling work of software used by hundreds of millions of users.

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.

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