Description

In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.

The Data Engineer is a core team member that enables the organization to collect, store, process, and analyze vast data sets. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Job Responsibilities

• Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Research opportunities for data acquisition and new uses for existing data
• Develop data set processes for data modeling, mining, and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create custom software components (e.g., specialized UDFs) and analytics applications.
• Employ a variety of languages and tools (e.g., scripting languages) to integrate systems together.
• Install and update disaster recovery procedures.
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with data architects, modelers, and IT team members on project goals.

Requirements

Bachelors and/or Master\xe2\x80\x99s degree in Computer Science or other suitable majors.

Technical Skills Required

• Is capable in programming and/or the understanding of programming languages.
• Deep understanding of various database structures, concepts, uses and practices.
• Knowledge of PostgreSQL, MySQL and expert knowledge of SQL
• Experienced with data architecture.
• Desire and ability to continuously learn new technologies and skills.
• Experienced in building and developing data pipelines and data stream workflows.

Programming Languages and Software Knowledge Required

• Python, R, Pandas, and other data processing tools/languages
• Languages such as bash, awk, JavaScript, Java, Objective-C or Swift, etc.
• NoSQL database such as Elastic Search and MongoDB
• Stream-processing systems, solutions such as Storm or Spark-Streaming
• SQL Server T-SQL Stored Procedures, Functions, and Triggers
• SQL Server Management Studio, Visual Studio IDE, SQL Command, MySQL Workbench, and PGAdmin
• SSIS Import/Export and other utilities, such as backup and bulk import.
• ETL Solutions for various data sources such as PostgreSQL, MongoDB, API, and Flat files
• SAS
• Visualization Tools such as Tableau and Power BI
• Expertise in using cloud platform (i.e., Azure and AWS)
• Analysis tools such as Alteryx

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