Data Engineer
Tree House Technologies is focused on connecting organizations with specialized technical talent to build reliable, scalable solutions. The company emphasizes that the quality of any product depends on the people who design, engineer, and maintain it.
Skills
About This Role
Company Description
Tree House Technologies is focused on connecting organizations with specialized technical talent to build reliable, scalable solutions.
The company emphasizes that the quality of any product depends on the people who design, engineer, and maintain it.
By supplying highly skilled professionals, Tree House Technologies helps clients accelerate innovation and achieve their business goals.
Team members join an environment that values technical excellence, collaboration, and continuous improvement.
This focus on people and expertise shapes both client engagements and internal culture.
Role Description
This is a full-time, on-site Data Engineer role based in Dubai.
The Data Engineer will design, build, and maintain scalable data pipelines, integrating data from multiple internal and external sources.
Responsibilities
include developing and optimizing ETL processes, implementing robust data models, and supporting data warehousing solutions to ensure reliable, high-quality data.
The role involves collaborating with data analysts, data scientists, and business stakeholders to understand data requirements, improve data accessibility, and enhance reporting and analytics capabilities.
The Data Engineer will also monitor data infrastructure performance, troubleshoot issues, and contribute to best practices for data quality, security, and governance.
Qualifications
- Strong data engineering skills, including experience with building and maintaining data pipelines and data integration workflows.
- Proficiency in data modeling and data warehousing, with the ability to design scalable, well-structured data architectures.
- Hands-on experience with Extract Transform Load (ETL) tools and frameworks, including performance optimization and automation.
- Practical knowledge of data analytics concepts, enabling effective collaboration with analytics and business teams.
- Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java).
- Familiarity with cloud data platforms (e.g., AWS, Azure, or GCP) and modern data stack tools is preferred.
- Understanding of data quality, data security, and governance best practices.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Ability to work on-site in Dubai, collaborate in cross-functional teams, and communicate clearly with technical and non-technical stakeholders.
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