242 Big Data jobs in Saudi Arabia

Qualifications

• Candidate must have experience in the area of Big Data Analytics with 7-8 years of experience.
• Proficient with the Big Data Engineering Stack preferably on Cloudera, Hive, Spark, Iceberg.
• Sound knowledge of the Big Data Frameworks like Map Reduce, Hive, Spark.
• Knowledge of the open-source scheduling Frameworks like Apache Airflow and Apache NiFi.
• Hands on experience in SQL, Python, Java and one database like Oracle, Teradata or MySQL is required.
• Sound Understanding of the Linux fundamentals and shell scripting is required.
• Familiarity with Kafka, MinIO, Golden Gate is preferred.
• Experience with Telco will be considered as plus.
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 7+ years of experience working with big data technologies (Hadoop, Spark, Kafka).

Responsibilities:

• Provide Big Data strategy consulting to enterprises and government organizations.
• Build and manage BI & Data Analytics Centers of Excellence to drive organizational data maturity.
• Advise on data governance, security, and compliance frameworks.
• Design and implement scalable Big Data solutions across industries.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 7 years of experience in Big Data architecture, strategic planning, and consulting.
• Proficiency in Big Data technologies, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong leadership and advisory skills for enterprise-scale projects.

Candidate must have experience in the area of Big Data Analytics with 7-8 years of experience

• Proficient with the Big Data Engineering Stack preferably on Cloudera ,Hive , Spark , Iceberg

• Sound knowledge of the Big Data Frameworks like Map Reduce , Hive , Spark

• Knowledge of the open-source scheduling Frameworks like Apache Airflow and Apace Nifi

• Hands on experience in SQL,Python,Java and one database like oracle , Teradata or MySQL is required

• Sound Understanding on the Linux fundamentals and shell scripting is required

• Familiarity with Kafka , MinIO , Golden Gate is preferred

• Experience with Telco will be considered as plus

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 7+ years of experience working with big data technologies (Hadoop, Spark, Kafka).

• Recruit, screen, and place Big Data engineers, data analysts, and BI specialists.
• Design and deliver training programs for Big Data technologies and best practices.
• Provide Big Data manpower solutions tailored to project and organizational needs
• Recruit, screen, and place Big Data engineers, data analysts, and BI specialists.
• Design and deliver training programs for Big Data technologies and best practices.
• Provide Big Data manpower solutions tailored to project and organizational needs

Requirements

• Bachelor's degree in Business, IT, Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data staffing, resource management, and training.
• Familiarity with Big Data ecosystems, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Excellent talent acquisition and training program management skills.

• Provide ongoing maintenance and support for Big Data platforms and BI systems.
• Ensure scalability, reliability, and high availability of Big Data infrastructures.
• Troubleshoot Big Data issues including ETL pipelines, data modeling, and integration problems.
• Offer annual Big Data & BI support contracts for proactive system monitoring and upgrades.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data support and maintenance services.
• Hands-on knowledge in Big Data tools, ML, Data Modeling, ETL pipelines, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong troubleshooting and performance optimization expertise.

• Offer managed services contracts for Big Data solutions, ensuring availability and scalability.
• Implement Big Data infrastructure and management systems for large-scale operations.
• Provide data migration, transformation, and integration services across platforms.
• Optimize and manage Big Data storage solutions to reduce cost and improve performance.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data service management, infrastructure, and automation.
• Expertise in Big Data platforms, ML, ETL processes, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong experience with data monitoring, service-level agreements (SLAs), and automation tools.

• Integrate Big Data solutions with enterprise IT systems and cloud platforms.
• Conduct open-source integration projects for data lakes, warehouses, and pipelines.
• Design and develop end-to-end data warehouse solutions and custom Big Data applications.
• Implement robust data pipelines and ETL workflows for real-time and batch processing.

• Bachelor's degree in IT, Computer Science, Software Engineering, or related field.
• Minimum 7 years of experience in Big Data integration and implementation.
• Technical expertise in Big Data frameworks, ML, Data Modeling, ETL tools, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong experience with system integration, APIs, and distributed computing environments.

• Conduct research and development of innovative Big Data analytics techniques.
• Explore advanced approaches for handling and analyzing large, complex datasets.
• Investigate advancements in distributed computing frameworks (e.g., Hadoop, Spark, Flink).
• Address nation-scale challenges by applying advanced Big Data methodologies.
• Continuously develop and deliver Big Data Proof of Concepts (PoCs) to demonstrate feasibility and value.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 10 years of experience in Big Data R&D.
• Strong expertise in Big Data platforms, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Proven track record in data science research, distributed systems, and prototyping.