Fujitsu

Data Engineer

10 October 2024
Full Time
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Deadline date:
£49000 - £91000 / year

Job Description

Data Engineering & Data Platform Consultant

  • Head Count hiring: 3
  • Work Set up: Hybrid (Onsite in Taguig, BGC)
  • Work Schedule: M-F with possible on-call schedules, Morning Shift – Oceania UTC and Holiday applies
  • Level: Mid to Senior , 2 – 5 Years or up experience 

In this role, you will design and develop state-of-the-art Data Platforms that enable Advanced Analytics and AI, driving tangible business outcomes for our clients.

Key Responsibilities

  • Consulting: Engage with clients to understand their needs, define strategy, and translate business requirements into technical solutions.
  • Azure Data Integration: Implement and manage data integration solutions using Azure tools.
  • Design & Architecture: Architect, model, and integrate data solutions that align with business goals and best practices.
  • Development:  Build and maintain Lakehouse, Data Lake, and Data Warehouse solutions.
  • Agile/Scrum Participation:  Collaborate effectively in Agile/Scrum teams to deliver high-quality solutions.

Required Skills

  • Azure Cloud Expertise: Proficiency in Azure cloud services, particularly in data engineering and integration.
  • Azure Data Factory/Data Pipelines:  Hands-on experience with Azure Data Factory for data movement and transformation.
  • Azure Synapse/Azure SQL:  Strong knowledge of Azure Synapse and SQL databases.
  • Azure Databricks or Spark: Experience in leveraging Azure Databricks or Spark for big data processing.
  • Data Modelling & Integration:  Solid understanding of data modeling and integration techniques.
  • SQL: Advanced SQL skills for querying and managing data.
  • Python/PySpark: Proficiency in Python and PySpark for data processing.
  • Technical Excellence: A strong technical foundation to maximize the value of underlying technologies.
  • Agile Methodology: Experience in delivering projects using Agile methodologies.

Preferred Skills

  • Net Development: Familiarity with .Net for data applications.
  • API Development: Experience in developing APIs for data integration.
  • IoT & Stream Analytics: Knowledge of IoT data ingestion and real-time stream analytics.
  • Power BI: Proficiency in Power BI for data visualization.

 

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