AI Signals and Recommender Data Engineer

AI Signals and Recommender Data Engineer

Be a part of a team that’s 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 Senior Software Engineer on our Dell Digital team in Bangaloreto do the best work of your career and make a profound social impact.

What you’ll achieve

You 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 (it’s a hard problem, we assure you). You will build analytical data sets on which model’s 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 Will

• Design specifications for high availability and highly scalable applications which will be used by both internal and external customers

• You 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 (it’s a hard problem, we assure you).

• You will build analytical data sets on which model’s 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 career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:​

Essential Requirements

• 5+ years in primary skillset of building complex ETL orchestrating pipelines preferably using Airflow

• Data Engineers 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

• Experience with data processing software (such as Hadoop, Spark, Pig, Hive), along with data processing algorithms (MapReduce, Flume) is a plus. 

Desirable Requirements

• Bachelor’s degree or equivalent and 5+ years of validated experience in testing/coding/IT software  

• Experience 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 are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re 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: 26 July 2024

Dell 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 here.

Dell’s Flexible & Hybrid Work Culture

At 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 locations page.