Responsibilities:

• Data-driven Product Development, Design & Maintenance: As the data engineer for analytics and AI team you are primarily responsible for:
• delivering user stories and other agreed requirements on-time and on-budget;
• collaborating with various business units and support teams to develop proof-of-concepts, minimum viable products and aid in the implementations of fully commercialized products and/or projects;
• evaluate issues/bugs reported and provide root-cause analysis, impact analysis and recommend solutions and workarounds in coordination with the development team, DevOps lead and product owner;
• building and gathering scalable data, ETL pipelines, and implementing machine learning model APIs; iteration and remodelling
• extracting, transforming, cleaning and organizing of raw data from multiple sources
• continuously monitoring and testing of the system to ensure optimized performance; be able to proactively monitor the overall system from the data load perspective and take appropriate actions to improve overall implementation and performance;
• should have strong ability to troubleshoot performance and configuration related issues due to firewalls, load balancers etc
• unit testing to ensure code robustness including edge-cases usability and general reliability
• Be up-to-date with the latest developments, standards, and benchmarks for data engineering, data analysis, and data science concepts
• Participate in various informational sessions and workshops as a participant or instructor upon request
• Strategic Partnerships: UBX encourages collaboration with strategic partners to bring better solutions to our clients. As senior engineer you are responsible for:
• finding the right partners that will aid UBX’s overall strategy
• collaborate with and participate in industry events that will help improve internal competencies and expertise
• engage, select and negotiate commercial terms with identified key partners
• Contribute in the success of UBX: As a key element to the success of the company, the Data Analytics and AI team is expected to do other responsibilities as determined by management.

Required Qualifications

• Bachelor’s degree in accounting, economics, actuarial, statistics, computer science or information technology or any relevant experience
• Minimum of 3 years experience in development and solutions delivery
• PL/SQL Oracle development experience
• Hands-on experience with NoSQL databases
• Experience pulling data from a variety of data source types
• Dimensional modelling experience
• Experience interfacing with business users and understanding their requirements
• Ability to learn and implement new and different techniques
• Strong Project Management skills
• Experienced in Hadoop, HDFS, Spark, Hbase, Hive, Sqoop
• Experienced in AWS Data Pipeline, Redshift, Glue, Kinesis
• Experienced with OLAP, SSAS, and MDX

Please refer to job description.