OLSYS Ltd provides full-service solutions for mid-market and enterprise organizations. As an enterprise software development company, we are building long-term partnerships
helping our clients accelerate their digital experiences with reasonable IT investments.
Our tailored approach, e-commerce focus, and flexible solutions allow us to design, develop,
and deliver scalable, integrated commerce platforms that drive profits and boost the business.
15+ years of experience, 100+ projects, 50+ specialists The Role Position Summary: The overall objective of this position is to provide data engineering support and expertise to various projects. This position will coordinate with various internal and external stakeholders to ensure deliverables are consistent with company standards and security practice
You will be responsible for : Primary Responsibilities Design, build, and maintain data pipelines using company standard technologies Understand and be able to manage cloud-based data technologies and applications Assist with renovating the data management infrastructure to drive automation in data integration and management work with data architects and data services team members to refine data requirements for various data and analytics initiatives Develop data ingestion, preparation, and integration code Create algorithms to convert data into actionable, useful information Prepare refined data to be used by data scientists Create clear and maintainable ETL code Investigate ways to increase data reliability, efficiency, and quality Enable advanced analytics, AI/machine learning, and statistical methods Collaborate well with business process experts, software engineers, QAs, delivery leads, product owners, and other relevant stakeholders Work with the Data Services team to follow and maintain company practices and security requirements in the data space Ideal Profile Experience/Skills Experience in data engineering or a related field Advanced analytical skills and attention to detail Able and willing to collaborate in a team environment and exercise independent judgment Excellent verbal and written communication skills Knowledge of analytic technologies including machine learning, AI and integration technologies Good knowledge of Azure capabilities (Data Factory, Databricks, Data Lake, Azure Functions, etc.), SQL, Python, relational and non-relational Data Stores Familiarity with data virtualization technologies SAP experience helpful Knowledge and experience using Azure DevOps or comparable tools for code and release management Strong problem-solving skills and using innovation to find solutions Experience in integrating complex processes and information strategies, and/or designing strategic metrics and scorecards. Agricultural industry experience is desirable, but not required. Education: A bachelor's degree in computer science, data science, information science or related field, or equivalent work experience.
What's on Offer? A role that offers a breadth of learning opportunities Flexible working options
