Vrabotuvanje.com - Senior Data Engineer - Скопје - ОНЕ КОНТАКТ
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Рок за пријавување:



Senior Data Engineer

You are an exceptionally talented R developer and data engineer with the ability and desire to work on complex problems that require you to constantly master new skills and technologies.


  • Code and build awesome tech in R.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using R and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Keep our data separated and secure through multiple data centers and AWS regions.
  • Create data tools for analytics and different team members that assist them in building and optimizing our product into an innovative industry leader.


  • Bachelor's Degree, Master's Degree, and/or PhD in Statistics, Math, Physics, Computer Engineering or a related field required, or equivalent education.
  • Knowledge and interest in leveraging financial data to improve decision-making and generate value.
  • Advanced working R knowledge and experience working with data engineering related packages (e.g. purrr, tidyr, dplyr, data.table, tibble).
  • Experience with R package development and building production-quality software using R (e.g. plumber APIs, shiny apps).
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (e.g. profvis, microbenchmark).
  • Strong analytic skills related to working with unstructured datasets and bringing it into R (e.g. plyr, jsonlite, readr, ghql).
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' processes (e.g. sparklyr).
  • Strong project management and organizational skills (we use Atlassian).
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational data stores, SQL and NoSQL databases, including MongoDB (e.g. aws.s3, mongolite)
  • Experience with data pipeline and workflow management tools.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
  • Experience with containerization and Docker.
  • Analytical mind, critical thinker, problem-solver.
  • Understanding of the financial services industry and capital markets.

Apply Now



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