Feature engineering:
Stitching together and aggregation of multiple large data sets working with the data scientist to a desired format.
You will need to optimize both queries and architecture to support big data sets.Data pipelining:
Once the initial dataset are prepared, it is normally run through a further pipeline to prepare it for modelling.
Here you will create features that make Machine Learning/Artificial algorithms work (e.g.
translating text into category variables).
Expect to work with datasets with billions of rows and thousands of columns.
Python/R is usually the preferred language, some larger tasks require Spark.Take the first step towards your dream career.Every Dell Technologies team member brings something unique to the table.
Heres what we are looking for with this role:
Essential RequirementsPrimary skillset ofbuilding and maintaining complex ETLorchestrating pipelines preferably using AirflowData Engineerswith experience in Airflow, Python, Bash, SQLEducation (Bachelors degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experienceYou have professional experience.
Solid experience in Data or BI engineering dealing with large complex data scenariosAbility to work with varied data infrastructures including relational databases, column stores, NoSQL databases, and file-based storage solutions.
Exposure to machine learning or machine learning pipelines is a plus.
Ability to set up containerized services using Kubernetes and Docker.Desirable RequirementsExperiencewith building and designing enterprise data pipelines with various levels of priority, concurrency, and versioningHeres our story; now tell us yoursDell Technologies helps organizations and individuals build a brighter digital tomorrow.
Our company is made up of more than 150,000 people, located in over 180 locations around the world.
Were proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.Whats most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life -- while still having a life.
We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.We started with computers, but we didnt stop there.
We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era.
Join us and become a part of whats next in technology, starting today.You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.Application closing date: