Candidates required for-MLOps Data Engineer

Job Description

MLOps Data EngineerBe a part of a team that s ensuring Dell Technologies product integrity and customer satisfaction. Our MLOps team turns business requirements into technology solutions by designing, coding, and testing/debugging applications, as well as documenting procedures for use and constantly seeking quality improvements.Join us as a Data Engineer on our ML Ops team in India to do the best work of your career and make a profound social impact.What you ll achieve As an MLOps Data Engineer, you will deliver products and improvements for a changing world. Working at the cutting edge, you will craft and develop software for platforms, peripherals, applications, and diagnostics all with the most sophisticated technologies, tools, software engineering methodologies, and partnerships.What youll do:
• Feature engineering: Stitching together and aggregating multiple large data sets working with the data scientist to the desired format. You will need to optimize both queries and architecture to support big data sets.
• Data pipelining: Once the initial dataset is prepared, it is normally run through a further pipeline to prepare it for modeling. Here you will create features that make Machine Learning/Artificial algorithms work (e.g. translating the 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. Here s what we are looking for with this role:Essential Requirements
• The primary skillset of building and maintaining complex ETL orchestrating pipelines preferably using Airflow
• Data Engineering skillset with experience in Airflow, Python, Bash, SQL
• Education (Bachelor s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience
• You have professional experience. Solid experience in Data or BI engineering dealing with large complex data scenarios
• Ability 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 Requirements
• Experience with building and designing enterprise data pipelines with various levels of priority, concurrency, and versioning
Here s 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. We re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.What s 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 didn t 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 what s next in technology, starting today.Application closing date: 30th November 2022Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Employment Opportunity Policy here .,

Keyskills :
software engineeringdata warehousingsqlbonus programspythonbig datainformaticacareer development