Data Engineer - Hybrid

The data engineer designs and develops data models collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability, and other relevant factors.

The data engineer designs and develops data models collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability, and other relevant factors. He / She also captures, transforms and stores clean data, leaving it ready for consumption.

Do you have strong business and collaboration skills? Do you have the attitude to thrive in a fun, fast-paced start-up environment? Do you have the skills needed to respond to service needs and operational demands? If so, then you will be a great fit for our amazing team and we eagerly await your application.

Core Functions

• Ensure data requirements and delivery of robust and complete roadmap
• Assess data:
  • Determine a strategic approach to data management
  • Identify the necessary data dictionary
  • Apply the volume, speed, variation and accuracy of the framework
  • Identify data security requirements
• Define solution space:
  • Assess computational power required derived from data and analytics technology
  • Choose hosting and toolset
  • Assess risk and determine security features
  • Estimate milestones, resources and costs
• Produce data via SQL and other programming tools
• Develop reports and dashboards
• Design and develop data and information structures
• Capture data and modify programs to extract information from company databases
• Engage with data scientists and translators to understand how data should be presented
• Improve data availability, acting as the link between the IT and analytics team

 Qualification & Experience

• 5+ years of experience in analyzing and preparing data, including considerable experience with very large data sets and unstructured data
• BS/BA (preferred MS) degree preferably in computer science, statistics, mathematics or an equivalent mix of education and experience
• Strong experience in database development and model design
• Experience with R, Python, MATLAB, C programming, C++, Java
• SQL knowledge and experience working with Hadoop, Hive, Map reduces, Teradata, QSTK, R, Python, C#, and Java
• Deep knowledge of machine learning, statistics, and optimization
• Advanced knowledge of statistical techniques, data mining, and machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
• Experience in database development and data model design

We offer excellent working conditions, comprehensive orientation and training, a competitive salary, an attractive benefits package and enough vacation that work will be a good break.

Right now, right in front of you, you have an opportunity to work with one of the most distinguished companies in the Financial Services Sector in Jamaica. Don’t miss the boat!