مهندس بيانات📣 إعلان

في تالينا

منذ 22 يوم

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

About the Role
The role of a Data Engineer at Talina involves managing and optimizing data systems through technical expertise in SQL, Python, and data modeling. This position requires handling ETL processes to ensure data accuracy and efficiency. Problem-solving and collaboration are essential soft skills, complemented by meticulous attention to detail and effective time management. This position thrives in a culture of ownership, where taking initiative and accountability are valued.

Responsibilities

Develop and optimize SQL queries for data retrieval and manipulation.
Utilize Python programming to automate data processes and create data pipelines.
Design and implement data models to effectively organize and structure data.
Implement ETL processes for extracting, transforming, and loading data into the data warehouse.
Apply problem-solving skills to identify and resolve data-related issues effectively.
Collaborate with team members to develop and implement data solutions.
Demonstrate attention to detail in data analysis and data processing tasks.
Manage time effectively to meet project deadlines and deliver high-quality work.
Take ownership of data projects and initiatives to drive success.

Requirements

Previous experience as a Data Engineer.
Strong proficiency in SQL for database querying and manipulation.
Proficiency in Python for developing data pipelines and automation.
Experience in data modeling to design efficient, scalable databases.
Knowledge of ETL processes for data extraction, transformation, and loading.
Strong problem-solving skills to tackle engineering challenges.
Ability to collaborate with cross-functional teams.
Attention to detail ensuring accuracy and reliability of solutions.
Excellent time management skills for prioritizing tasks.
Demonstrated ownership mindset in driving projects to completion.

متطلبات الوظيفة

تتطلب ٢-٥ سنوات خبرة

وظائف مشابهة

مهندس بيانات

📣 إعلانجديدة

تي كي مصعد

دوام كامل

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!

2-5 سنة

الرياض

منذ يوم واحد

مهندس بيانات

📣 إعلان

أيجكس

دوام كامل

Join Our Team as a Data Engineer
We are seeking a skilled and detail-oriented Data Engineer to become part of our exceptional team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data analytics and business intelligence initiatives.

Key Responsibilities:

Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
Ensure data quality, integrity, and security across all systems.
Monitor and troubleshoot data pipeline performance and reliability.
Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
Collaborate with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
Translate business requirements into technical specifications and data models.
Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
Maintain documentation for data systems and processes.
Contribute to the development of CI/CD pipelines for data infrastructure.
Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements: