DataLab Data Engineer

Company:
Location: 1000 Brussels

*** Mention DataYoshi when applying ***

Tasks description

The consultant shall provide consulting services and support on data topics pertaining to related business areas.

In this context it is required the support from a senior expert on Data Engineering in order to:

  • Design and implement the data engineering solutions;
  • Design and implement data modelling, interfaces definition, technical and functional documentation, etc.;
  • Design, analyse, and implement Business Intelligence components such as :
    • Data Warehouses
    • Data Lakes
    • Data Marts
    • ETLs
    • Reporting Tools
    • Analytics
    • Data Mining Tools, etc.;
  • Design, create, test and maintain data pipelines to support analytics projects;
  • Design and implement data cleansing, data preparation or other type’s data processing solutions using the available tools e.g. SAS, Oracle or other tools;
  • Write code, debug, test and improve;
  • Work in an agile/iterative way e.g. participate in drafting the backlog, user stories, definition of the sprints;
  • Follow up, coordinate and facilitate all data manipulation activities and initiatives;
  • Collect business requirements and interact with the business users;
  • Provide support and training on data manipulation and processing to the different stakeholders;
  • Draft and/or review technical requirements for a data analytics environment, both in terms of hardware and software and creation of functional architecture for a data analytics environment;
  • Draft progress and technical reports;

Required abilities

The senior expert must have:

  • 3 years minimum experience with Python;
  • 3 years minimum experience with R;
  • Minimum 8 years of cumulative experience with big data processing in following languages Python and/or R (e.g. 3 years with Python, and 5 years with R);
  • 3 years minimum experience with the usage of the Python, R libraries dedicated for the data manipulation (e.g. NumPy, pandas, scikit-learn, Matplotlib);
  • Minimum 3 years experience with the Anaconda distribution of Python, R;
  • Expert knowledge of database programming & data modelling supported by a minimum experience of 5 years in this area;
  • Expert knowledge with Oracle database programming and administration supported by a minimum experience of 5 years in this area;
  • Minum 3 years experience with distributed data stores :
    • Redi
    • Hadoop
    • Elasticsearch
    • Kafka,
  • Expert knowledge on Data Warehousing techniques, designs and implementation supported by a minimum experience of 5 years in this area. A Data Warehousing and Data Base programming certification shall be considered an asset;
  • Expert knowledge on identifying performance bottlenecks and performance tunning when working with big data, in the database and the non-database layer, , supported by a minimum experience of 5 years in this area;
  • Experience in the optimization and tuning of the visualisation tools (eg. SAS VA, Tableau) and code for better performance will be considered as additional asset;
  • Minimum 5 years’ experience in implementing projects in an agile way;
  • Minimum 3 years’ experience in estimating the hardware requirements needed to ensure the performance requirements of big data projects;
  • Minimum 3 years’ experience in gathering requirements from the business users, preparing test data and executing test cases interacting with the business users;
  • Minimum 3 years’ experience in working on projects involving a large number of stakeholders;
  • Ability to draft functional, technical documents and reports;
  • Good experience working on data-driven projects;

As additional assets the senior expert could have:

  • Experience with Machine and Deep Learning in Python, R;
  • Experience with non-relational databases;
  • Knowledge and experience with the SAS tools e.g. SAS Enterprise Guide, SAS Visual Analytics, SAS Data Integration Studio supported by a minimum of 5 years’ experience in at least 3 SAS tools e.g. SAS Viya, SAS Enterprise Guide and SAS Visual Analytics.

The 5 years minimum experience shall be calculated for each of the tools and not cumulatively, but they could have been acquired simultaneously;

  • SAS programming language knowledge and experience in this area;
  • Any SAS certification;
  • A background in statistics and experience with the SAS statistical functions are considered to be an asset;
  • Knowledge and experience with STATA;
  • Experience with Atlassian tools e.g. Jira, Confluence, BitBucket is considered to be an asset.

Summary of mandatory requirements

  • University degree + 13 years of experience ( from the 13 years of experience 4 at least should be on the topic at hand)
  • For operational reasons, a good knowledge of English is needed
  • Start: ASAP - Freelance or employee position
  • Duration: Long term

Location

Brussels (On-site)

*** Mention DataYoshi when applying ***

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