Overview
Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.
At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations : people, processes, technology, and data . Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
Responsibilities
- Data Pipeline Development : Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
- Technical Customizations : Deploy technical customizations to pre-packaged software solutions.
- Micro-service and API Development : Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
- Data Transformation : Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
- Continuous Improvement : Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
- Data Mapping : Identify and present key performance indicators (KPIs) based on existing data points and datasets.
- Solution Development : Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges.
Involvement In
Collecting Requirements from Clients : Identify and present key gaps and opportunities for business optimization from the client.Creating Data-Driven Insights : Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.Reporting and Visualization : Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.KPI Identification : Identify and present key performance indicators (KPIs) based on existing data points and datasets.#J-18808-Ljbffr