Data Engineer📣 Job Ad

in Emdad By Elm

about 4 hours ago

	Contract Type	Full-time
	Workplace type	On-site
	Location	Riyadh

Join Emdad By Elm as a Senior Data Engineer and be part of a team that is dedicated to enhancing data solutions that drive decision-making across our organization. We are looking for a passionate individual who can design and implement scalable data solutions and contribute to advanced analytics initiatives.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes.
Build and support robust data infrastructure that can scale with business needs.
Collaborate with data science and analytics teams to deliver reliable, high-quality data.
Identify and implement improvements in data systems, processes, and performance.
Ensure data governance, security, and compliance standards are maintained.
Mentor junior team members and support knowledge sharing within the team.
Maintain documentation and support reporting for business decision-making.

Requirements:

4 to 6 years of experience in data engineering or a related field.
Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
Strong experience in building data pipelines and ETL processes.
Proficiency in SQL and at least one programming language such as Python or Java.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data modeling, data governance, and best practices.
Strong analytical, communication, and collaboration skills.

If you are passionate about building scalable data solutions and enabling impactful insights, we welcome your application.

Requirements

Requires 2-5 Years experience

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Datamatics Technologies

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Join Our Team as a Senior Data Engineer!
We at Datamatics Technologies are looking for a highly skilled Senior Data Engineer with strong expertise in the classic data stack, particularly SQL Server and SSIS. This role is fundamental in designing, building, and maintaining scalable data pipelines, robust data models, and data marts.

Job Summary
The Senior Data Engineer will play a key role in developing a structured semantic layer that ensures high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.

Key Responsibilities

Data Modeling: Design and maintain scalable and high-performance data models, develop data marts aligned with business requirements, and apply best practices in data warehousing.
Semantic Layer Development: Build and maintain a semantic layer with clear definitions, hierarchies, and data structures.
Data Pipeline Development (ETL): Develop and manage ETL pipelines using SSIS and SQL Server, ensuring reliability and availability of data across systems.
Data Quality & Governance: Ensure accuracy, completeness, and consistency of data from source systems.
Stakeholder Collaboration: Work closely with business teams, analysts, and data scientists translating business requirements into scalable data solutions.
Documentation & Standards: Maintain comprehensive documentation for data models, ETL processes, and workflows.
Mentorship: Provide technical guidance and mentorship to junior team members.

Technical Skills & Requirements