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AWS Data Engineer

We work in a hybrid model! Recruitment process for this position is conducted online.

Software Center is a part of Capgemini Group.

We support our clients, using the knowledge, experience, and engagement of our specialists. Our offices are located in Wrocław, Poznań and Gdańsk. We realize projects from many branches – from logistics, automotive, entertainment branch, to public and chemical. We are experts in many technologies, i.e., Java, Cloud, .NET, React or testing.

Department description:

Insights & Data practice delivers cutting-edge data centric solutions.  

Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP.  

We are responsible for full SDLC of the solution: apart from using data processing tools (e.g., ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. 

Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision. 

Additionally, we are exploring the area of Quantum Computing, searching for practical growth opportunities for both us and our clients. 

Currently, over 250 of our Data Architects, Engineers and Scientists work on exciting projects for over 30 clients from different sectors (Financial Services, Logistics, Automotive, Telco and others) 

Come on Board!

Your future tasks:

  • design and implementation of solutions processing large and unstructured datasets (Data Mesh , Data Lake or Streaming Architecture);
  • implementation, optimization and testing of modern DWH/Big Data solutions based on AWS cloud platform and Continuous Delivery / Continuous Integration environment;
  • data processing efficiency improvement, migrations from on-prem to public cloud platforms.

Frequently used technologies:

  • AWS Cloud
  • Python/ PySpark
  • Glue
  • Redshift
  • Snowflake
  • SQL
  • Terraform

Our requirements:

  • at least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle);
  • practical knowledge of the AWS cloud in Storage, Compute (+Serverless), Networtking and DevOps areas supported by commercial project work experience;
  • theoretical AWS cloud knowledge supported with certificates (for example DVA-C01, SAA-C02, SAP-C01, VDS-C01, DAS-C01);
  • familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark;
  • At least basic knowledge of one of this programming languages: Python/Scala/Java/bash;
  • Very good command of English (German language would be an advantage).

What have we prepared for you?

  • permanent employment contract from the first day;
  • hybrid, flexible working model;
  • equipment package for home office;
  • private medical care and life insurance;
  • access to our NAIS benefit platform;
  • possibility of using increased tax-deductible costs in the case of creative work.

Personal and professional development:

  • 70+ training tracks with certification opportunities (e.g., MS Azure, AWS, Google) on our NEXT training platform.
  • Platform with free access to Pluralsight, TED TalksCoursera materials and trainings.
  • Free access to Udemy Business account with ability to use during and outside working hours.

Would you like to discover a world of unlimited possibilities and continuous innovation?

At Capgemini, we're proud to be a global leader in working with companies to transform and manage their business by harnessing the power of technology. We are guided everyday by the purpose of unleashing human energy through technology for an inclusive and sustainable future.

It's time to #Get the Future You Want!

Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply — join us!

Do you want to get to know us better? Visit our Capgemini Software website!

Do you have any additional questions about working at Capgemini?

Check our:

  • Instagram — @capgeminipl 
  • Facebook profile — Capgemini Polska.
  • You can also find us on TikTok! — @capgeminipl. 
Ref. code:  1278
Posted On:  Feb 12, 2024
Experience Level:  Experienced Professionals
Contract Type:  Permanent

Wrocław, PL Katowice, PL Kraków, PL Opole, PL Warszawa, PL Poznań, PL Lublin, PL

Brand:  Capgemini
Professional Community:  Data & AI

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