Data Engineer

We are looking for a Data Engineer expert with innovative thinking, initiative, and strong technological drive – someone who can take a business need and turn it into a smart and precise technological solution, from ideation to implementation.

This is an independent, end-to-end role that includes responsibility for designing, planning, and implementing data solutions in a cloud environment (primarily AWS), building data infrastructure and pipelines, and providing technical support to clients.

Must-Have Requirements:

3–5 years of experience in designing, architecting, developing, and implementing end-to-end data solutions.

Experience in building a Data Warehouse (DWH) from scratch – including data modeling, loading processes, and architecture.

At least 2 years of hands-on experience with AWS/AZURE based data technologies.

Experience in building and maintaining advanced data pipelines from various data sources.

Significant experience in designing, developing, and maintaining ETL processes.

Deep understanding of infrastructure, information security, and cloud architectures.

Experience working with clients/business teams – including gathering requirements and leading the technological solution.

Familiarity with common BI tools such as Power BI, Tableau.

Experience with scripting/coding languages such as Python.

Ability to work independently, with attention to detail and strong initiative.

 

Nice-to-Have Requirements:

Familiarity with advanced architectures such as Data Lake or Data Mesh.

Innovative thinking, ability to solve complex problems, and a proactive technological approach.