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Data Engineer (Expert)

Remote:

Full Remote

Contract:

Full time

Experience:

Expert & Leadership (>10 years)

Work from:

India

Offer summary

Qualifications:

Experience in SQL and BigQuery, Knowledge of Parquet and Avro formats, Familiar with GCP Cloud infrastructure, DevOps experience with CI/CD pipelines, Understanding of software architecture.

Key responsabilities:

Design, develop, and maintain data infrastructure
Implement data solutions for machine learning projects
Collaborate in a cross-functional agile team
Build data products within a Data Mesh concept
Ensure high-quality available and understandable data

weITglobal - W.IT.G Consulting AB Information Technology & Services Startup https://www.weitglobal.com/

11 - 50 Employees

See more weITglobal - W.IT.G Consulting AB offers

Job description

This is a remote position.

You will be involved in one of the biggest data transformation journeys within our organization. As a data engineer, you will be working with building data products in the context of the Data Mesh concept based on a defined target vision and requirements.

We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.

You will join the Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain, and be an individual contributor in one of the data product teams. The area supports all our brands globally to create, structure, guard, and ensure data is available, understandable, and of high quality.

Requirements

Experience in data query languages (SQL or similar), BigQuery, and different data formats (Parquet, Avro).
Take end-to-end responsibility for designing, developing, and maintaining the large-scale data infrastructure required for machine learning projects.
Have the DevOps mindset and principles to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code.
Work in a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within our organization.