Job description

About company

Operates in a hybrid model with an online recruitment process. - Specialists located in multiple locations support clients across various sectors. - Specializes in numerous technologies, including Java, Cloud, .NET, React, and testing. - Delivers cutting-edge data-centric solutions, with a focus on Cloud & Big Data engineering. - Exploring Quantum Computing to identify practical growth opportunities.

Responsibilities

- Design and implementation of solutions for processing large and unstructured datasets (Data Mesh, Data Lake, or Streaming Architecture). - Implementing, optimizing, and testing modern DWH/Big Data solutions based on the AWS cloud platform in a Continuous Delivery/Continuous Integration environment. - Improving data processing efficiency and migrating from on-premises to public cloud platforms. - Frequently used technologies include AWS Cloud, Python/PySpark, Glue, Redshift, Snowflake, SQL, and Terraform.

Requirements

- Requires at least 3 years of experience in Big Data or Cloud projects, specifically in processing and visualizing large and unstructured datasets. - Practical knowledge of the AWS cloud in Storage, Compute (+Serverless), Networking, 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 is necessary: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark. - At least basic knowledge of one of these programming languages: Python/Scala/Java/bash. - A very good command of English is required

Nice to have

(German language would be an advantage).