Job Description

AI Signals and Recommender Data EngineerBe a part of a team thats ensuring Dell Technologies\' product integrity and customer satisfaction. Our IT Software Engineer 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 AI Signals and Recommender Data Engineer on our Dell Digital team in Bangalore to do the best work of your career and make a profound social impact.What youll achieveYou will work as AI Signals and Recommender Data Engineer with other engineers and data scientists to solve some of the hardest business problems. You will learn what it takes to build, deploy & scale Machine Learning/Artificial Intelligence models in real-world (its a hard problem, we assure you). You will build analytical data sets on which models will be built. This would entail two key tasks - feature engineering on large datasets and optimization of our pipelines to drive scalability. If you are already good at it, we will make you better.You WillDesign specifications for high availability and highly scalable applications which will be used by both internal and external customersYou will work with other engineers and data scientists to solve some of the hardest business problems.You will learn what it takes to build, deploy & scale Machine Learning/Artificial Intelligence models in real-world (its a hard problem, we assure you).You will build analytical data sets on which models will be built. This would entail two key tasks - feature engineering on large datasets and optimization of our pipelines to drive scalability.Take the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role: Essential Requirements5+ years in primary skillset of building complex ETL orchestrating pipelines preferably using AirflowData Engineers with 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 scenariosExperience with data processing software (such as Hadoop, Spark, Pig, Hive), along with data processing algorithms (MapReduce, Flume) is a plus.Desirable RequirementsBachelors degree or equivalent and 5+ years of validated experience in testing/coding/IT softwareExperience with building and designing enterprise data pipelines with various levels of priority, concurrency, and versioning and 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.Who we areWe believe that each of us has the power to make an impact. Thats why we put our team members at the center of everything we do. If youre looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, were looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Application closing date: 9 August 2024Dell Technologies 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. Read the full Equal Employment Opportunity Policy . Job ID:R246928Dells Flexible & Hybrid Work CultureAt Dell Technologies, we believe our best work is done when flexibility is offered.We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our page.

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