مهندس بيانات📣 إعلان

في تالينا

منذ 28 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

لوسيديا

دوام كامل

Join Lucidya as a Data Engineer and play a crucial role in shaping our data infrastructure.

As a Data Engineer, you will design, develop, and manage scalable data pipelines that support our analytics and machine learning teams. Your work will ensure that our data is accessible, reliable, and organized to meet our growing analytical needs.

Key Responsibilities:

Design and implement ETL processes for data movement and transformation.
Build and maintain data infrastructure for storage, processing, and analysis.
Collaborate with data analysts and scientists to support their data needs.
Ensure data quality and integrity throughout its lifecycle.
Optimize data storage and retrieval processes for performance.
Document data flows, transformations, and architectural changes.

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in a Data Engineer or similar role.
Strong knowledge of SQL and database technologies (*, PostgreSQL, MySQL).
Proficient in programming languages such as Python, Java, or Scala.
Experience with ETL tools (*, Apache Airflow, Talend).
Familiarity with cloud platforms (*, AWS, Google Cloud Platform, Azure).
Knowledge of big data technologies (*, Hadoop, Spark) is a plus.
Excellent attention to detail and strong communication skills.

Why Join Us?
This is an opportunity to shape our technical future, scale our platform, and deliver empowering technology. We offer Employee Stock Option Plans (ESOP) and performance-based bonuses, fostering growth and innovation in a dynamic work environment.

2-5 سنة

الرياض

عمل عن بُعد

منذ 4 أيام

مهندس بيانات

📣 إعلان

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: