وظائف مهندس بيانات في الدمام

Join Lucidya as a Data Engineer! We are seeking an experienced individual to become a vital part of our data infrastructure team. As a Data Engineer, you'll work to design, develop, and maintain scalable data pipelines that empower our analytics and machine learning initiatives.

Key Responsibilities:

• Design and implement ETL processes to manage data from diverse sources.
• Build and maintain data infrastructure required for efficient data storage and processing.
• Collaborate closely with data analysts and scientists to ensure their data needs are met.
• Ensure the quality and integrity of data throughout its lifecycle.
• Optimize data retrieval processes to ensure performance and scalability.
• Document data flows and changes to architecture effectively.

Requirements:

• Bachelor's degree in Computer Science or related field.
• 3+ years of experience in a similar role.
• Strong SQL knowledge and experience with database technologies (*, PostgreSQL, MySQL).
• Proficient in programming languages like Python, Java, or Scala.
• Experience with ETL tools (*, Apache Airflow) is preferable.
• Familiarity with cloud platforms and big data technologies is a plus.

Benefits:

• Employee Stock Option Plans providing ownership in our success.
• Performance-based bonuses to reward your contributions.
• Work in a fast-growing environment that fosters personal and professional growth.

Join TK Elevator as a Data Engineer!

At TK Elevator, we are seeking a Data Engineer to join our Digital Operation Center in KSA. Our mission is to create exceptional insights from data to enhance our service and field operations. If you are passionate about data and innovation, this role offers an exciting opportunity to work with a global leader in industrial machinery manufacturing.

Key Responsibilities:

• Data Engineering & Analytics: Utilize Databricks and Azure-based data platforms for processing IoT telemetry and service data.
• Visualization & Reporting: Design and maintain Power BI reports to deliver crucial insights.
• Domain Collaboration: Collaborate with field experts and service teams to derive actionable insights.
• Global Collaboration: Work with peers worldwide to share best practices.
• Standards & Best Practices: Adhere to documentation practices for high-quality outputs.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Minimum 810 years’ experience in Data Science / Data Engineering.

Key Skills:

• Strong proficiency with Databricks, SQL, and Python.
• Expertise in Power BI for data visualization.
• Knowledge of IoT telemetry data and field service processes.

Language proficiency in English is required; Arabic is a plus.

Join us in shaping the future of sustainable urban mobility!