The Global Leader in Microsoft Recruitment
Established in 2006 in Newcastle UK, Nigel Frank International has rapidly grown into the global leader in Microsoft recruitment. With additional offices in London, Berlin, New York, San Francisco, Dallas, Melbourne and Singapore, we offer our Microsoft Partner and End User clients unparalleled access to the widest range of high calibre candidates.
Engineering - Data Engineer
Miejsce pracy: Rzeszów, Sanok
Nr ref.: 02192
Major responsibilities
- Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner
- Understanding existing and potential data sets in both an engineering and business context
- Curate, design and catalogue high quality data models to ensure that data is accessible and reliable
- Build highly scalable data processing frameworks for use across a wide range of datasets and applications
- Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
- Evaluate, select and acquire new internal & external data sets that contribute to business decision making
- Engineer streaming data processing pipelines
- Drive adoption of Cloud technology for data processing and warehousing
- Engage with data consumers and producers in order to design appropriate models to suit all needs
Basic Qualifications
- Extensive knowledge and proven experience applying domain driven design to build complex business applications
- Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
- In-depth knowledge of relational and columnar SQL databases, including database design
- General knowledge of business processes, data flows and the quantitative models that generate or consume data
- 2-3 years of relevant work experience in a team-focused environment
- A Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts
- Independent thinker, willing to engage, challenge or learn
- Ability to stay commercially focused and to always push for quantifiable commercial impact
- Strong work ethic, a sense of ownership and urgency
- Strong analytical and problem solving skills
- Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
Nice to have
- Financial Services industry experience
- Working knowledge of more than one programming language (Python, Java, C++, C#, etc.)
- Experience with the Hadoop eco-system (HDFS, Spark)