Cloud Data Architect

Cloud Data Architect

Miejsce pracy : Poznań

Technologies we use

Expected

• AWS
• Microsoft Azure
• Google Cloud Platform
• Cloud Dataflow
• BigQuery
• Cloud Dataproc
• Cloud KMS
• Pub / Sub
• Google Kubernetes Engine
• Apache Beam
• Kafka
• Spark
• Snowflake Data Cloud
• Azure SQL
• Azure Function
• Power BI
• Terraform
• Redshift
• Glue
• Athena
• Kinesis
• Lambda
• Python
• Scala
• Java
• Bash

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

Our requirements

What we offer

Benefits

Recruitment stages

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).