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Senior Data Engineer(Python/Pandas, Ukraine) #14734

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Ukraine

Offer summary

Qualifications:

University degree in Computer Related Sciences or equivalent experience., 5+ years with BigData technologies and tools (PySpark preferred)., 5+ years of Python development experience (Python, Pandas)., Strong hands-on experience with Spark, DataBricks., Experience with cloud services (Azure preferred)..

Key responsabilities:

  • Design, develop, deliver and operate scalable data processing software.
  • Ensure high quality development standards (unit/integration tests).
  • Collaborate with the product management team to meet client needs.
  • Proactively raise technical risks and report task status.
  • Maintain close contact with team members and stakeholders.
Capgemini Engineering logo
Capgemini Engineering Information Technology & Services XLarge https://www.capgemini.com/
10001 Employees
About Capgemini Engineering
World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 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.Get the Future You Want | www.capgemini.com
See more Capgemini Engineering offers

Job description

Purpose Of The Job

As Data Engineer you will build and modify an ETL solution in marketing&sales domain, which involves data transformation, imputation and loading for further usage in the analytics solution. Another important aspect is refactoring of existing Data Science code and embedding it as part of PySpark pipeline .

Main Tasks And Responsibilities

  • Design, develop, deliver and operate scalable, high-performance data processing software.
  • Ensure high quality development standards (unit/integration tests, etc.)
  • Collaborate with the product management team to incorporate the needs of the client.
  • Proactively raise technical risks and issues.
  • Report to supervisor about current tasks status.
  • Work in close contact with team members and other relevant stakeholders.
  • Take responsibility for personal professional development.
  • Follow established Company policies and processes, pass obligatory trainings.

Education, Skills And Experience

 MUST HAVE:

  • University degree in Computer Related Sciences or equivalent working experience.
  • 5+ years with BigData technologies and tools (PySpark preferred).
  • 5+ years of Python development experience (Python, Pandas)
  • Strong hands-on experience with Spark, DataBricks
  • Experience with cloud services (Azure preferred)
  • Good English (verbal & written) and communication skills in general

Would Be a Plus

Would be a plus:

  • MLOps experience
  • Handling scalability issues, pipeline/cluster optimization
  • Experience with Data Science algorithms (e.g. Random Forest, Linear Regression)

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Unit TestingData TransformationIntegration TestingPySparkSparkrPandas (Python Package)DatabricksIT Risk ManagementMLOps (Machine Learning Operations)Big Data AnalyticsData EngineeringData ProcessingPython (Programming Language)Pipeline PlanningAlgorithmsCloud Services

Other Skills

  • Verbal Communication Skills
  • Collaboration
  • Leadership Development
Are you interested?

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