Data Engineer

Company Description

• RoshdyTech specializes in providing comprehensive data engineering, architecture, analytics, governance, and quality solutions to help businesses leverage their data effectively. 
• They design scalable data systems for informed decision-making and operational excellence, offering tailored solutions and free engineering supervision.

Job Title: Data Engineering Specialist

Location: Remote / On-Site

Job Type: Full-Time

Job Description:

We are seeking a Data Engineering Specialist to build and manage scalable, efficient data pipelines and infrastructures that form the backbone of business intelligence and analytics. The role focuses on creating reliable ETL/ELT processes, real-time data pipelines, and seamless data integration across platforms.

Key Responsibilities:

• Design, implement, and optimize data pipelines for ETL/ELT workflows.
• Develop tools to automate data validation and quality checks.
• Collaborate with stakeholders to understand data requirements and deliver custom solutions.
• Optimize data workflows for performance and cost efficiency.
• Document processes and systems for knowledge sharing and maintainability.
• Develop and manage data pipelines and ETL/ELT solutions.
• Implement real-time data processing frameworks for instant insights.
• Integrate data from multiple sources to create a unified data ecosystem.
• Ensure high-quality, clean data is ready for analysis and reporting.

Why Should You Join Us?

• At RoshdyTech, we are more than just a workplace!
• We are a community of innovators, problem-solvers, and collaborators committed to transforming how businesses leverage data. Joining us means being part of a forward-thinking team that values creativity, continuous learning, and professional growth.

Here’s what you can expect:

• Challenging Projects: Work on impactful projects that solve real-world problems for diverse industries.
• Career Development: Access to training, certifications, and mentorship to enhance your skills and career.
• Innovative Culture: Be part of a dynamic environment that encourages new ideas and cutting-edge solutions.
• Supportive Team: Collaborate with passionate professionals who value teamwork and knowledge sharing.
• We believe in empowering our team to achieve their fullest potential while making a difference in the data-driven world. Come grow with us!