Employment Setup : Remote / UAE hours
Contract Duration : Initial 1 year, subject to extension
Role Overview
We are looking for a skilled Data Engineer to design, build, and maintain robust data infrastructure that supports analytics and business decision-making. You will develop scalable ETL pipelines, optimize data systems, and ensure data quality, security, and reliability while collaborating with cross-functional teams.
Key Responsibilities
- Build and maintain scalable data pipelines and ETL processes for data warehouse / data lake.
- Design data models and schemas based on business and analytics requirements.
- Ensure data quality, consistency, and timely delivery across systems.
- Monitor, troubleshoot, and optimize data infrastructure performance.
- Implement data governance, security, and compliance best practices.
- Partner with data scientists, analysts, and engineers to support advanced analytics.
- Stay current with emerging data technologies and recommend improvements.
- Document processes, data flows, and architectures for knowledge sharing.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field.Proven experience in data engineering and large-scale ETL pipeline development.Strong skills in SQL and at least one programming language (Python, Java, or Scala).Hands-on experience with big data tools (e.g., Hadoop, Spark, Hive) and workflow tools (e.g., Airflow).Familiarity with cloud platforms (AWS, Azure, or GCP).Knowledge of data warehousing concepts and best practices.Strong problem-solving, communication, and teamwork skills.Detail-oriented with a focus on delivering high-quality, reliable solutions.