Cloud Data Architect

Cloud Data ArchitectMiejsce pracy: GdańskTechnologies we useExpected

• Cloud Dataflow
• BigQuery
• Cloud Dataproc
• Cloud KMS
• Pub/Sub
• Google Kubernetes Engine
• Apache Beam
• Kafka
• Spark
• Snowflake
• Data Lake Gen2
• Event Hub
• Data Factory
• Databricks
• Azure DWH
• Azure Function
• Power BI
• Terraform
• Redshift
• Glue
• Athena
• Kinesis
• Lambda
• Python
• Scala
• Java
• Bash

Operating system

• Windows
• Linux

About the project

You will be a part of our Insights & Data practice, and member of a team that 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 custom build Cloud Data services on AWS, Azure or GCP. We are in charge of 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.

Your responsibilities

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture);
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment.
• Data model design, data flow documentation.
• Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development.

Our requirements

• Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC);
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and Devops supported by work on commercial projects;
• Familiarity with at least few of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda;
• At least basic command of one of the programming languages: Python, Scala, java, bash;

What we offer

• Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• no dress code
• parking space for employees
• extra social benefits
• redeployment package
• employee referral program
• charity initiatives
• access to courses e.g. Excel, VBA, RPA, Customer Care
• unlimited access to Udemy Business
• free chat/call with a therapist

Recruitment stages

• Interview with the recruiter
• Competency Tests/Language Verification
• Video call with a manager
• Final Decision

Capgemini Polska

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally 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.

I agree to the processing of personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).

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