Senior Data Engineer (Dubai/Riyadh, onsite) #15179

Purpose Of The Job

A one-year contract for on-site work in the UAE or Saudi Arabia. The contractor should be available to visit the client's office in Dubai/Riyadh up to four times per week. We are seeking a highly skilled Data Engineer to join our team and contribute to advanced data analytics, machine learning model development, and data-driven decision-making for our client. The ideal candidate will have strong expertise in data manipulation, statistical analysis, and machine learning, along with experience in cloud platforms and big data technologies. Our client is a leading industrial company in the United Arab Emirates, recognized as the world’s largest ‘premium aluminum’ producer. With operations spanning from bauxite mining to alumina refining and aluminium smelting, they are a significant contributor to the UAE’s economy and a major player in the global aluminium industry. The company is committed to innovation, sustainability, and technological advancement, continually striving to enhance its processes and products to meet the evolving needs of its customers worldwide.

Main Tasks And Responsibilities

Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders

Ensures that assigned area/areas are delivered within set deadlines and required quality objectives

Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area

Developing best practices for data coding to ensure consistency within the system

Updating and optimizing local and metadata models

Evaluating implemented data systems for variances, discrepancies, and efficiency

Troubleshooting and optimizing data systems

Understand the business drivers and analytical use-cases and translate these to data products

Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology

Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR

Suggests technical and functional improvements to add value to the product

Collaborates with other teams

Education, Skills And Experience

MUST HAVE:

Proficiency in programming languages such as Python, Java, or Scala

Knowledge of SQL and databases for efficient data storage and retrieval

Experience with data integration and ETL processes for data ingestion and transformation

Understanding of data warehousing and dimensional modeling for optimized data storage and querying

Familiarity with big data technologies like Hadoop and Spark for handling large-scale datasets

Expertise in cloud platforms such as Azure for scalable data solutions

Ability to ensure data quality and governance through validation, integrity checks, and compliance

Proficiency in data visualization tools for reporting and insights

Strong collaboration and communication skills to work with cross-functional teams

Problem-solving and analytical thinking abilities for optimizing data workflows

Knowledge of version control and DevOps practices for efficient development and deployment

Ability to handle large datasets and build efficient data pipelines

Ensure the availability and reliability of data for analysis and decision-making