Senior Data Engineer

2 weeks ago

Timișoara, Timiş, Romania Atos Full time €40,000 - €80,000 per year

About Atos Group

Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Senior Data Engineer

What are your tasks:

•Monitoring, troubleshooting, and enhancing an OOP Python-based Data engineering prescriptive analytics solution running in a Cloud (Azure, AWS, or GCP) environment.

•Integrating the end-to-end data pipeline to ingest data from source systems to target data repositories, ensuring the quality and consistency of data is always maintained

•Assessing and tuning pipeline performance and the performance and applicability of multiple tools against customer requirements

What do you bring with you:

•Direct experience of building data pipelines using Apache Spark (preferably in Databricks).

•Proficient in Python OOP (strong experience with Python for data engineering apps).

•Hands-on experience designing and delivering solutions using Azure (preferred) or other cloud providers

•Experience with data ingestion/ETL (ADF or other ETL orchestration engines).

•Programming experience in Scala or Python

•Proven experience working as a data engineer

•Highly proficient in using the Spark framework (Python and/or Scala)

Preferred, but not mandatory:

•SQL (any dialect).

•Data science knowledge and experience.

•Knowledge in CI/CD (Azure DevOps)

Why Join Us?

•Training and Certifications: Access to continuous learning and career development opportunities.

•Flexible working environment

•Competitive salary and benefits package.

•Reimbursement: Get a yearly fixed amount for reimbursement.

•Performance Bonus: Earn an annual performance bonus based on your achievements.

•Career Advancement: Explore numerous opportunities for professional growth and career advancement.

•Extra Vacation Days: Take advantage of additional vacation days to relax and recharge.

Let's grow together.

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