Description
Aramco is seeking a Data Engineering Specialist to join the Downstream Global Optimizer (GO) team. The successful candidate will design, develop, and maintain scalable data platforms that power the iGO ecosystem.
The Downstream Global Optimizer team drives commercial optimization across Saudi Aramco's integrated downstream value chain, including domestic and international refining assets. The GO team identifies and captures optimization opportunities to enhance system netback and deliver shareholder value.
As a Data Engineering Specialist, you will be responsible for designing and implementing data architectures and efficient ETL processes to move and transform data from various sources into a format suitable for analysis. You will also ensure the accuracy, completeness, and consistency of data by implementing data validation and cleansing processes.
Key responsibilities include:
- Design and implement data architectures and efficient ETL processes
- Ensure data accuracy, completeness, and consistency
- Architect and manage data storage solutions
- Work with data scientists and other stakeholders to understand data requirements and provide appropriate data solutions
- Optimize data pipelines and architectures for scalability and performance
To be successful in this role, you will need to have strong technical expertise in programming languages such as Python, SQL, and Java or Scala. You will also need experience with big data technologies like Apache Spark, Hadoop, Kafka, and Airflow.
Minimum requirements include:
- A Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field
- At least 10 years of experience in data engineering, data architecture, or enterprise data platform development
- Strong technical expertise in programming languages and big data technologies
Preferred qualifications include certifications in cloud platforms and data engineering.
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.