Data Engineer

We are looking for a Data Engineer to join our Client's team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

What will be your key responsibilities:

  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

What experience should you have:

  • Previous experience as a data engineer or in a similar role
  • Thorough knowledge of at least one on-premise or cloud-based database management solution and hands-on experience with batch processing, storing, loading, and transforming structured datasets
  • Technical expertise with data models, data mining, and segmentation techniques
  • Experience in using Python for data management
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills

What do you get in return:

  • Competitive salary in an innovative company
  • To be a part of a creative and progressive team
  • Hybrid-way of working
  • Continuous learning opportunities
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