Data Engineer Expert (Python & R)

We are looking for a Data Engineer Expert (Python & R)

Tasks

• Design and implement the data engineering solutions;
• Design and implement data modelling, interfaces definition, technical and functional documentation, etc.;
• Design, analyze, 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;
• Excellent Python and/or R Development skills (min 8 years);
• Good experience working on data-driven 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;
• Experience in effort estimation required for execution of the requested activities;
• Draft progress and technical reports;
• Follow-up on IT delivery, including the activities of external contractors;
• Signal risks and propose measures to mitigate those risks;

Qualifications – mandatory

• 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;
• Minimum 3 years’ experience with distributed data stores (e.g. Redis, Hadoop, Elasticsearch, Kafka, etc.);
• 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 tuning 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 optimalization and tuning of the visualization 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;
• Ability to work fluently in English is mandatory

Summary of mandatory requirements

• Experience: 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)
• Languages: English
• Start: This is a freelance position. We are looking for freelancers that are able to start ASAP.

Location

Brussels, Belgium (on-site work is required)