Data Engineer

About the Job: Support the Director in building and maintaining robust data architecture and solutions. Responsibilities include designing, constructing, installing, and maintaining large-scale processing systems and data pipelines, as well as extracting, transforming, and loading (ETL) data from a wide variety of sources. The role involves implementing data governance and data quality best practices, assisting in optimizing query performance and monitoring system health, and collaborating with data scientists, analysts, and business teams for data enablement. Documentation of data processes and system designs for transparency and scalability is also required.

Technical Competencies:

• Strong proficiency in SQL and data modeling.
• Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi).
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift).
• Proficiency in Python/Scala for data engineering tasks.
• Understanding of CI/CD practices in data workflows.
• Familiarity with orchestration tools (e.g., Airflow, Prefect).

Qualifications and Skills:

• Qualification: Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Desirable Qualification: Master’s in Data Engineering, Computer Science, or related discipline.
• Work Experience: 3–5 years of hands-on experience in data engineering or data infrastructure roles.

Work Conditions: Full-time

Location: Dubai, Dubai, United Arab Emirates (On-site)