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Data Engineer (Databricks/Python, Ukraine) #14713

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Ukraine

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, Minimum 2 years experience with Azure Data Factory, Proficiency in Databricks, Python, and SQL, Familiarity with Azure DevOps and data formats, English proficiency at B2 level or higher.

Key responsabilities:

  • Develop and manage data pipelines using ADF
  • Process, transform, and optimize data with Databricks, Python, and SQL
  • Collaborate with teams to implement data solutions during sprints
  • Store and organize data in Azure Storage Accounts
  • Automate workflows to enhance data processing efficiency
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

We are seeking a proactive Mid-Level Data Engineer with a minimum of 3 years of experience in data ingestion, processing, and management within cloud environments, particularly the Azure ecosystem. The ideal candidate will collaborate with agile teams using methodologies like Scrum to develop and optimize our data infrastructure.

Main Tasks And Responsibilities

  • Develop and manage data pipelines using Azure Data Factory (ADF).
  • Process, transform, and optimize data with Databricks, Python, and SQL.
  • Collaborate with Product Owners and Tech Leaders to implement data solutions during agile sprints.
  • Store and organize data in Azure Storage Accounts.
  • Automate workflows to enhance data ingestion and processing efficiency.
  • Document processes and implement best practices across the data pipeline.

Education, Skills And Experience

 MUST HAVE:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Minimum of 2 years of experience with Azure Data Factory (ADF) for orchestrating data pipelines.
  • Proficiency in Databricks, Python, and SQL.
  • Familiarity with Azure DevOps and data formats like Parquet.
  • Understanding of data transfer protocols such as SFTP.
  • Experience working in agile teams using Scrum methodologies.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • English proficiency at B2 level or higher.

Nice To Have

  • Experience with data integration or ETL tools such as Informatica PowerCenter, Talend, SSIS, Nifi or similar platforms.
  • Knowledge of ingesting data from SAP R/3 systems via IDocs.
  • Familiarity with tools like Jira, Confluence, and schedulers like Control-M.
  • Understanding of data security practices in cloud environments.

Additional Skills

  • Strong communication and collaboration abilities.
  • Proactive in documenting and improving data workflows.
  • Team-oriented with a commitment to excellence.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

DatabricksApache NiFiPython (Programming Language)Agile MethodologyControl-M (Batch Scheduling Software)JIRAInternal DocumentationTalendSQL (Programming Language)Data EngineeringInformatica PowercenterAtlassian ConfluenceAzure Data FactoryData ManagementData Protection Strategy

Other Skills

  • Collaboration
  • Problem Solving
  • Verbal Communication Skills
Are you interested?

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