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Data Architect

2 weeks ago

Dubai, Dubai, United Arab Emirates Tyde Digital Full time

Tyde Digital is a trusted business optimization consultancy that empowers organizations to achieve their strategic objectives through data-driven decision-making. We're looking for a highly analytical and detail-oriented Data Engineer to join our team.

Our Mission
  • We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
  • We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
Key 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.
Requirements
  • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
  • 3+ years of experience in data engineering or a related role.
  • Proven experience in data engineering or a related role.
  • Proficiency in data pipeline development, including ETL processes.
  • Strong programming skills in languages such as Python, C#, or Java.
  • Experience in extracting applicable data from databases using SQL.
  • Experience in cloud computing platforms (AWS/GCP/Azure).
  • Experience with BI tools like Power BI, Tableau, or similar platforms.
  • Strong problem-solving abilities and attention to detail.
  • Ability to work collaboratively in a cross-functional team environment.