Our global IMS (Information Management and Systems) team provides technical support, maintenance and development services to Operations departments such as Finance, HR & Talent Acquisition, Legal and Marketing and provide crucial support to various SaaS solutions and CMS systems.
Our Data Engineers have the following responsibilities:
Design and build models using algorithms appropriate to data volume, type, quality and velocity.
Apply data analysis, data modeling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components.
Design and implement logical and physical data models based on technical and functional requirements.
Write scripts for feature engineering and creation of data assets.
Participate in work stream planning processes including inception, technical design, development, testing and the delivery of Analytics solutions.
Lead in architecting and optimizing Data virtualization platform and associated data management/ modeling best practices i.e. JBoss.
Consult with other report developers and BI analyst around their reporting data requirements and assist in technical design, and performance troubleshoots.
Create easy-to-follow IT documentation for installation and configuration of applications, roadmaps, instructions, root cause analysis, change records, etc.
Previous experience in a data engineer (or similar) role
Experience working with Rest/SOAP clients, Relational and Non-relational Data Modeling, and Data Warehousing concepts
Experience with different types of data sources such as RDBMS type (MySQL, PostgreSQL, MS SQL Server) and NoSQL (ElasticSearch)
Experience with data virtualization technology e.g. JBoss
Strong analytic skills related to working with unstructured datasets
Experience with BI Data Visualization concepts
Nice to have
Nice to have GCP based experience
Exposure to Tibco Spotfire
Proven experience with concurrency, multithreading, and distributed system architectures
Apache spark experience