Data Engineer
Job details
Aramco energizes the world economy.
Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Overview
We are seeking a Senior Data Engineer to join the Corporate Data Office within our Digital Transformation Admin Area.
The Corporate Data Office is responsible for establishing and executing world-class Corporate-wide data governance to ensure all data assets are proactively and efficiently governed and managed across Saudi Aramco, to foster a data driven organization and promote data value realization in line with its strategic goals as well to adequately comply with national and international data regulations.
The Data Engineer will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
The Data Engineer will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support external software developers, database architects, data analysts, and data scientists on strategic data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects within the Corporate Data Officer and beyond.
Duties & Responsibilities
- Create and maintain optimal data pipeline architecture for the Corporate Data Office;
- Assemble large, complex data sets that meet functional / non-functional business requirements;
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- designing and building new, cutting-edge Data Quality management product features
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources;
- Build data analytics tools that utilize the data pipeline to provide actionable insights into data compliance, operational efficiency, and other key business performance metrics;
- Optimize the performance of Corporate data platforms and services to ensure that they can handle large volumes of data and support real-time processing and analysis.
- Build out Corporate data quality checks and develop processes for identifying and resolving data quality issues.
- Develop a corporate data library / metadata repository including best practice for development of data transformation specifications;
- Enable the engineering components to the rollout of the Corporate data strategy framework, with a focus on improvement of data quality and the protection of sensitive data through related tools and architecture.
- Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information; to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.
Education & Experience Requirements
- Bachelor's degree in Computer Science, Management of Information System, or Information Management from a recognized and approved program. An advanced degree is preferred.
- Ten (10) years of experience with large-scale data management and oversight experience
- Candidate must have knowledge of industry leading data quality and data protection management practices.
- Candidate should have prior experience of implementing data governance platforms/tooling e.g. Informatica, Collibra, Alation etc....
- Candidate will have experience of creating data pipelines, ETL processes, data modeling, and data quality rules is highly desirable.
- Candidate will be able to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
- Candidate will be able to demonstrate consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design.
- knowledge of risk data architecture particularly within the Oil and Gas sector.
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.
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