Senior Data Engineer

Senior Data Engineer

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us as a Senior Data Engineer on our Global Decision Sciences team in Bucharest to do the best work of your career and make a profound social impact.

We are seeking an experienced Data Engineer to design and implement, from the ground up, efficient data pipelines as well as manage and optimize ETL processes for large datasets. The successful candidate will work closely with the data scientists on the team to facilitate the transformation, derivation and use of Dell Financial Services data.

You will :

• Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

Play an important role in the end-to-end delivery of AI solutions, from ideation, feasibility assessment, to data preparation and industrialization.

Design, develop and deploy scalable batch and / or real-time data pipelines, having a strong focus on DataOps.

Identify and investigate potential data quality issues and explore ways to improve data quality and reliability.

Implement data validation, cleaning, and monitoring processes to ensure high-quality data for data science models.

Essential Requirements :

5+ years in data engineering or a related field, with proven success in building scalable data solutions.

Master’s degree in computer science, engineering, mathematics or another relevant subject.

Experience with data modelling, design patterns and building highly scalable and secured data platforms and infrastructures.

Practical experience with Python data exploration, analysis and engineering libraries.

Experience within a commercial environment creating ETL pipelines in python

Desirable Requirements :

Experience with development of Enterprise Data Warehouse platforms like Teradata / GreenPlum.

Experience with data orchestrators such as Airflow