Senior Big Data Engineer

Short Description

Performs research, design, implementation and support tasks as a member of Capgemini team. Works in accordance with project guidelines, quality standards and code conventions.

Responsible for area/areas within the team area of responsibility (AOR). One of the current team AOR is implement high-performance graph storage solution, integrate listeners into systems like Hadoop, Spark, and internal tools to produce graph nodes and vertices and help build visualizations and traversals of the graphs.

Investigate, create, and implement the solutions for existing technical challenges, including building/enhancing the frameworks and tools used by other development teams

Qualifications

• University degree in Computer Related Sciences or similar
• 5+ years of solid code profiling experience in Python
• Big Data tools: Hive, Presto, Spark (pySpark, SparkSQL), Apache Airflow, Apache Iceberg
• Data file formats: Parquet
• Docker, K8s, Git
• Proficiency in both SQL databases and NoSQL databases
• Knowledge of data warehousing concepts and tools
• Familiarity with big data processing frameworks like Apache Spark
• Proficiency in distributed computing and parallel processing
• Ability to organize and document solutions.
• A passion for streamlining systems and processes to make the difficult trivial.

Would Be a Plus

• Experience with Scala
• Experience with AWS

Job 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.
• Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
• Responsible for resolving crisis situations within 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.
• If required, make yourselves available for the visits to the client location.