Data Engineer

Zone IT Solutions; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A global IT service provider in Dubai is looking for a Data Engineer for a permanent position. The selected candidate will be responsible for designing and maintaining data architectures, optimising data pipelines, and developing solutions for data quality issues. Candidates should have a degree in related fields and experience in SQL, Python, R, and tools like Airflow and Spark.

Qualifications

• Degree qualified in data science, computer science, statistics, information systems, or related disciplines.
• Extensive experience with SQL, Python and R.
• Experience or familiarity with Airflow, Spark, Hadoop, and PostgreSQL.

Responsibilities

• Design and maintain data architectures, including databases.
• Acquire and integrate new data sources.
• Optimise data pipelines and automate processes.
• Develop methods for identifying data quality issues.

Skills

SQL

Python

R

Data modelling

ETL tools

Airflow

Spark

Hadoop

PostgreSQL

Education

Degree in data science, computer science, statistics, or information systems

Job description

We are actively looking for a Data Engineer for a permanent position in Dubai, United Arab Emirates. This exciting opportunity is with a well-established global IT service provider known for its excellence in the industry.

About Us

We specialize in Digital, ERP and larger IT services. We offer flexible, efficient and collaborative solutions to any organization that requires IT experts. Our agile, agnostic, and flexible solutions will help you source the IT expertise you need.

If you are looking for new opportunities, send your profile at Careers, [e-mail]. Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures and linguistic backgrounds, as well as those with disabilities.

Key Responsibilities

• Designing, building and maintaining data architectures, including databases and processing systems.
• Acquiring and integrating new data sources.
• Optimising data pipelines, automating processes where possible and planning for scalability.
• Developing methods for identifying issues in data quality, reliability and efficiency.
• Applying appropriate security controls to all relevant collections, databases and systems.
• Maintaining documentation relating to the design and maintenance of data systems.
• Creating and maintaining the infrastructure and analytic tools to allow for efficient data extraction and transformation.

Key Skills and Qualifications

• Degree qualified in data science, computer science, statistics, information systems, or related disciplines.
• Extensive experience with SQL, Python and R.
• Experience or familiarity with Airflow, Spark, Hadoop, and PostgreSQL.
• Experience with data modelling and ETL tools.
• An understanding or interest in data science or analytics would be advantageous.