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!
Qualifications Data Engineering and Data Modeling skillsExperience with ETL processesData Warehousing and Data Analytics knowledgeExperience with cloud data solutions is a big plusStrong problem-solving and analytical skillsExcellent communication and teamwork abilitiesExperience with data warehousing, data lakes, and data martsFamiliarity with both relational and non-relational databases.Excellent problem-solving skills and ability to debug complex data issues.Proficiency in programming/scripting languages such as Python, Java, or Scala.Knowledge of cloud-based and on-premise data architecture best practices.