Big Data Engineer

Müller's Solutions; Riyadh; On-site; SAR 90,000 - 120,000; Full time

Benefits offered by this job

Attractive Package

Family Benefits

Visa

Air Tickets

Job summary

A leading tech company in the Riyadh Region is seeking an experienced Big Data Engineer to design and develop scalable big data solutions. Responsibilities include building data pipelines using Apache Spark and Hadoop, ensuring data quality, and collaborating with various teams. Candidates should have a Bachelor's degree in Computer Science or related fields, along with 3+ years in data engineering. Attractive salary and benefits offered.

Qualifications

• 3+ years of experience as a Big Data Engineer or similar role.
• Proficiency in big data technologies such as Apache Spark, Hadoop, and Kafka.
• Strong coding skills in Java, Scala, or Python.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.

Responsibilities

• Design, build, and maintain scalable data pipelines using big data technologies.
• Collaborate with data scientists and IT teams to deliver solutions.
• Ensure high data quality and integrity.
• Optimize data storage solutions for performance and cost-efficiency.

Skills

Apache Spark

Hadoop

Kafka

Java

Scala

Python

AWS

Azure

Google Cloud

ETL

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Tools

Docker

Kubernetes

Job description

Müller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
• Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
• Ensure high data quality and integrity by implementing robust data validation and testing processes
• Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
• Monitor and troubleshoot data processing workflows to ensure timely data delivery
• Document data architectures, processes, and workflows for knowledge sharing and compliance
• Stay ahead of industry trends and best practices in big data technologies and methodologies

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3+ years of experience as a Big Data Engineer or in a similar data engineering role
• Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka
• Strong coding skills in programming languages like Java, Scala, or Python
• Familiarity with data processing frameworks and ETL tools
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)
• Analytical mindset and excellent problem-solving abilities
• Strong communication skills to collaborate effectively with technical and non-technical stakeholders
• A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines

Preferred Qualifications

• Experience with machine learning frameworks and algorithms is a plus
• Knowledge of data governance and security best practices
• Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes

Benefits

• Attractive Package
• Family Benefits
• Visa
• Air Tickets