Data Engineer
(JO0000000026)
Overview
Reference
JO0000000026
Salary
AED12,500 - AED18,000/month + Benefits
Specialism:
Tech
Job Type
Permanent
Job Location
- United Arab Emirates -- Dubai Province
Posted
26 April 2025
About the Client:
Our client is a leading telecommunications company in Dubai, providing a wide range of services to consumers and businesses. The company is committed to leveraging data to enhance customer experience, optimize network performance, and drive business growth. They are seeking a skilled and experienced Data Engineer to join their team and contribute to their data-driven initiatives.
Job Summary:
The Data Engineer will be responsible for building and maintaining robust data pipelines, data warehouses, and data infrastructure to support the company's data analytics and business intelligence needs. This individual will work with large datasets from various sources, ensuring data quality, reliability, and accessibility. The ideal candidate will possess a strong understanding of data engineering principles, experience in the telecommunications industry, and excellent communication skills in both Arabic and English.
Responsibilities:
- Data Pipeline Development & Management:
- Design, develop, and maintain scalable and reliable data pipelines using ETL/ELT processes.
- Extract, transform, and load data from various sources, including databases, APIs, and streaming platforms.
- Implement data quality checks and validation procedures.
- Optimize data pipelines for performance and efficiency.
- Automate data processing and pipeline management tasks.
- Data Warehouse & Infrastructure Management:
- Design and implement data warehouses and data lakes to support analytical workloads.
- Manage and optimize database systems and data storage solutions.
- Implement data security and access control measures.
- Monitor and maintain data infrastructure performance.
- Ensure data availability and reliability.
- Data Modelling & Architecture:
- Design and implement data models to support business requirements.
- Develop and maintain data dictionaries and metadata repositories.
- Collaborate with data scientists and analysts to understand data requirements.
- Design and implement data governance policies and procedures.
- Telecommunications Data Expertise:
- Understand and work with telecommunications data, including network data, customer data, and usage data.
- Develop data solutions for network optimization, customer segmentation, and churn prediction.
- Implement data solutions to improve service quality and customer experience.
- Ensure compliance with telecommunications data regulations.
- Communication & Collaboration:
- Communicate effectively with technical and non-technical stakeholders in both Arabic and English.
- Collaborate with data scientists, analysts, and business users to understand data needs.
- Prepare and present technical reports and documentation.
- Participate in project meetings and provide technical updates.
Qualifications & Experience:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience as a Data Engineer.
- Strong programming skills in Python, SQL, and other relevant languages.
- Experience with ETL/ELT tools and data warehousing technologies.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
- Knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).
- Experience with data modelling and architecture.
- Understanding of telecommunications data and industry practices.
- Excellent problem-solving and analytical skills.
- Fluent in both Arabic and English (written and spoken).
Essential Skills:
- Bilingual Proficiency: Fluent in both Arabic and English (written and spoken).
- Data Engineering Expertise: Strong understanding of data engineering principles and practices.
- Programming Skills: Proficiency in Python and SQL.
- Data Warehousing: Experience with data warehousing technologies and concepts.
- Telecommunications Knowledge: Understanding of telecommunications data and industry practices.
- Communication Skills: Excellent verbal and written communication skills.
- Problem-Solving: Strong analytical and problem-solving skills.
Preferred Skills:
- Experience with streaming data technologies (e.g., Kafka, Flink).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with machine learning pipelines.
- Relevant certifications (e.g., AWS Certified Data Engineer, Azure Data Engineer Associate).
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on challenging and impactful projects in the telecommunications industry.
- Professional development and career growth opportunities.
- Dynamic and collaborative work environment.
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