Dell Data Engineer in Bratislava,
Why Work at Dell?
Endless challenges and rewards. Opportunities on six continents. A team of colleagues fueled by collaboration. All this, and a company deeply committed to integrity and responsibility.
We are transforming Marketing at Dell. Come join the best and the brightest to bring “Personalization at Scale” vision to life. Leveraging Dell Technology intellectual property, we are building one of the worlds largest customer data lake bringing billions customer contacts and data together to drive our #digitaltransformation. If you love changing the status quo, and empowering the curious to engineer marketing excellence - we invite the curious to join our Modeling & Customer Intelligence team. #GoBig #GoFast.
Dell is a collective of customer-obsessed, industry-leading visionaries. At our core is a commitment to diversity, sustainability and our communities. We offer unparalleled growth and development opportunities for our team members. We believe that technology is essential for driving human progress, and we’re committed to providing that technology to people and organizations everywhere, so they can transform the way they work and live.
You will be responsible for providing the required data engineering capabilities to of turning data into actionable insights and applying science to data, in order to predict and model future outcomes
Build processes supporting data transformation, data structures, metadata, dependency and workload management; assemble large, complex data sets that meet business requirements
Deep expertise on data sources, required transformations, quality, consistency, velocity, access
Document mapping for all required data resources for Modeling; ensure that data is cleansed, available and formatted to be consumed by marketing models
Provides actionable recommendations on how to optimize modeling speed, stability, and outputs
Deliver on analytics roadmap, while always identifying new opportunities and prioritization recommendations while partnering with Product Managers and engineers to implement them.
Establish relationships with key business partners/Points of Contact to accelerate issues fix
Develop and Maintain self-service capabilities for Business KPI drill-down needs (OLAP, TOLAP)
Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
2-3 years 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). Experience in software development in one or more languages, such as Python, Java, Go, C++ and/or similar. Experience in Graph database is a Plus
Proven ability to work with varied data infrastructures – including relational databases, column stores, NoSQL databases, and file-based storage solutions.
Quickly adapt to new development environments and changing business requirements
Learn new systems
Create reliable/maintainable code, and find creative and scalable solutions to difficult problems
The ability to communicate clearly and concisely (English) both writing and orally is a key competency as is demonstrable skill as a self-starter.
Thrive in ambiguity & work with global team across various time-zones.
Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.
Dell is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity and/or expression, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate. Dell encourages applicants of all ages.