مهندس بيانات📣 إعلان

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.

Join Lucidya as a Data Engineer!
This is a crucial role in building and maintaining our data infrastructure. You will design, develop, and manage scalable data pipelines to support our analytics and machine learning teams. Your goal is to ensure data accessibility, reliability, and organization to meet our growing analytical needs.

Key Responsibilities:

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

Requirements:

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

Why Join Us?
More than just an engineering role, you will shape the infrastructure and technical future of Lucidya. We offer Employee Stock Option Plans (ESOP) and performance-based bonuses, allowing you to have ownership in the company's success. Join our fast-growing team and take part in leading, innovating, and personal and professional growth.

Join Highbrow Technology Inc as a Data Engineer!
We are looking for a skilled Data Engineer to become part of our team in Riyadh, Saudi Arabia. This role will involve working on exciting data engineering projects for a duration of 18 months (6 months execution + 12 months support).

Key Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows.
• Integrate multiple data sources, ensuring accuracy and timeliness.
• Support analytics and business intelligence teams with clean, optimized data.
• Work closely with architects and development teams to enhance performance and data usability.

Minimum Qualifications:

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• 5+ years of hands-on data engineering experience.
• Strong command of ETL frameworks (*, Airflow, Talend, Glue).
• Experience with big data tools (*, Spark, Hadoop, Kafka).
• Advanced skills in SQL, Python, or Scala.

Preferred Qualifications:

• Prior experience in government or high-compliance environments.
• Familiarity with the Arabic language or translation workflows.
• Cloud certifications (AWS, Azure, GCP).

If you are interested, please share your profile!