Ukraine Job Openings

Capgemini Engineering

Architect Data (Azure Pipelines/Databricks/PySpark, Ukraine)

October 10, 2024

Purpose of the job:
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Our client is one of the world largest healthcare manufacturing organization. The goal is gathering data from medical implants to monitor clients state and provide recommendations. We are looking for Architect level Data Engineer who is experienced with Azure pipelines, Databricks and Py Spark
MAIN TASKS AND RESPONSIBILITIES:
  • Design and implement scalable data architecture using Azure Data Services (Azure Pipelines, Databricks).
  • Build and optimize data pipelines for ETL/ELT processes using Py Spark and Azure Data Factory.
  • Ensure data integrity, quality, and security across the data platform.
  • Collaborate with data engineers, analysts, and stakeholders to define data strategy and solutions.
  • Optimize performance and troubleshoot issues in big data environments.
  • Lead and mentor the data engineering team in best practices and technology adoption.
EDUCATION, SKILLS AND EXPERIENCE:
MUST HAVE:
  • 5+ years’ experience in IT industry with experience in defining and maintaining Application architectural blueprints and provide alignment with business objectives, and providing Technical/functional guidance to the team.
  • Good problem solving and customer communication skills.
  • Ability to quickly adapt to domain and new technologies, experimenting and finding quick solutions to customer pain area by carrying out Proof-of-Concepts, collaborating and resolving dependencies across multiple development teams.
  • Ability to understand data architecture and contribute to Architectural design improvements
  • Strong Hands on Experience with Microsoft Azure, Databricks technologies
  • Hands on development experience in Pyspark, Python
  • Working knowledge of data warehousing principles, ETL star schema.
  • Agile / Scrum methodology practitioner.
  • Strong understanding of Object Oriented Design, Design Patterns, Database Optimization, Normalization, etc.
  • Should be flexible to work on Customer proprietary tools, technologies and framework
  • Should possess excellent communication and presentation skills (language: English)
WOULD BE A PLUS:
  • DBT knowledge
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