Data Engineer II - Customer Growth Marketing

Big Data Engineer Do you want to tackle some of the most difficult issues for businesses using ML/AI? Are you interested in learning how to develop algorithms that can scale - many of our use cases start with over 10 million rows of data? Our data scientists & engineers are helping to mold our marketing strategy for a digital era. What are our objectives in Marketing? - Drive perception - Drive demand - Expand the buyer base - Create the best content The models and solutions that you provide will be the key ingredient we use to supply our customers & sales with relevant product recommendations and creative breakthroughs for our business. We offer you a fast-paced work environment in a diverse team with exposure to Dell teams across the world. You will be part of an active, cooperative, and cross-functional team focused on making significant business impacts. Key responsibilities: You will work with other engineers and data scientists to solve some of the hardest business problems. You will learn what it requires to build, launch & scale ML/AI models in the real world (it's a tough problem, we promise you). You will construct analytical datasets upon which models will be developed. This would entail two main tasks - feature engineering on large datasets and optimizing our pipelines for scalability. If you are already proficient at it, we will help you become even better. You will: - Feature engineering: Combine and aggregate multiple large data sets with the data scientist to a desired format. You will need to optimize both queries and architecture to support large data sets. SQL is generally the chosen language, but some Spark jobs are required. - Data pipelining: Once the initial datasets are prepared, they are typically run through a further pipeline to prepare them for modeling. Here, you will create features to enable ML/AI algorithms (e.g. translating text into category variables). Python/R is usually the chosen language. Essential Requirements: - Robust SQL Knowledge. - Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience - Attention to detail, critical thinking, and openness to learning. - Willing to mentor junior team members. - You have professional experience. 5+ years of experience in Data or BI engineering dealing with large, complex data scenarios Desirable requirements: - Skills in Python or other programming languages. - Demonstrated ability to work with diverse data infrastructures – including relational databases, Data Warehouses, column stores, NoSQL databases, and file-based storage solutions. Exposure to software engineering and machine learning or machine learning pipelines is a plus. Salary starting from: 3,250 Euros/gross monthly Who we are: We believe that each individual has the power to generate an impact. That's why we focus on our team members in all that we do. If you're searching for an opportunity to enlarge your career alongside some of the industry's best minds and most advanced technology, we're seeking you. Dell Technologies is a unique group of businesses that assist individuals and organizations in transforming how they work, live, and play. Join us to shape a future that benefits everyone, because Progress Needs All of Us. Application closing date: 3rd November 2023 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. You can read the full Equal Employment Opportunity Policy here. #profesia