168 Big Data jobs in Saudi Arabia

Doha, Doha, QatarClariba SEIDORFull time

Description

Join our growing team in Qatar!

You will report to the Regional Operations Manager in Doha and work closely with the Head of Project Management Office Middle East in Dubai. You will also experience working closely with the best analytics resources in the region, including BI consultants, developers, graphics designers and more to deliver best-in-class solutions to our tier 1 customers in Qatar and beyond. Your previous analytics technical development experience as well as Project Management responsibilities within a consultancy environment will help you succeed and grow your career!

**Responsibilities**:
Manage project lifecycle for multiple new projects in MENA region and create complete project plans and schedules using MS Project.

Work closely with Sales team to manage accounts and support with new business development initiatives.

Work closely with our customers to understand their problems, deliver quality solutions, and ensure that customer satisfaction remains high; stakeholder management at C levels.

Follow Project Management Institute methodology as well as internal Clariba PM process to ensure detailed tracking and communication of project progress from a task, time, schedule, and cost perspective.

Maintain accurate and up-to-date project plans enabling intelligent decision making by all stakeholders.

Identify risks and dependencies; escalate them to the Head of PMO if required.

Liaise and collaborate with internal teams to ensure that project finances, expenditures, and resources are correctly monitored and always forecasted.

Utilize policies, procedures, and business plan to make decisions in the best interest of Clariba.

Oversee technical consultants in Qatar and Middle East customer projects

**Requirements**:
Bachelor’s degree in Engineering or Information Technology field of study.

Experience working on or leading BI projects in the Gulf region.

Ideal experience includes at least 4 years in a progressive Business Intelligence career.

A proven track record for project initiation, planning, executing, controlling and closing on projects (with references).

A clear understanding of Business Intelligence solutions, licensing and architecture.

Experience working in a multicultural environment and relating with people from a variety of backgrounds and cultures.

Fluency in written and spoken English.

**Desirable Experience and Knowledge**:
PMP designation or working towards it.

ScrumMaster or Agile Certification.

This is an onsite position to teach students in Riyadh, Saudi Arabia. Travel to the jobsite will be required and it will be a contract role for 4-6 months. All necessary business travel expenses will be handled by Coding Dojo._

As an instructor in this position you will shadow, co-teach, and lead your own stack. This position includes training through more complex projects, on-line/on-site classroom support, teaching, lecturing, live demos and more. The position may include refining and creating courses to be released to Coding Dojo boot camp students.

**Responsibilities**
- Create the content/curriculum for the Data Science program
- Deliver instruction on big data, deep learning, machine learning, and AI
- Facilitate group discussions, demos, and in-class remote activities
- Follow industry trends for big data, deep learning, machine learning, and AI
- Play a hands-on role in curriculum development, use what you learn from working with students to make the curriculum world-class
- Gather and report on student metrics
- Work alongside Coding Dojo’s Online Instruction team to deliver remote training
- Participate in professional training to stay fresh
- Responsible for potential deployment with new or existing Coding Dojo clients with the ability to contextualize work based on client requests

**Core Competencies**
- Proficient understanding of distributed computing principles
- Management of Hadoop cluster, with all included services
- Ability to solve any ongoing issues with operating the cluster
- Proficiency with Hadoop v2, MapReduce, HDFS
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks, such as Flume
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
- Experience with Cloudera/MapR/Hortonworks
- Experience in teaching, mentoring, industry training, online/classroom instruction
- Excellent oral and written communications skills

**Minimum Requirements**
- Bachelor's degree in data science, engineering, mathematics, statistics, or related degree from an accredited college or university
- 3 years industry experience working in a Big Data/AI related role
- Reliable internet connection and equipment to perform all job duties

**Benefits**
- Once-in-a-lifetime chance to travel to Riyadh, Saudi Arabia
- All necessary travel expenses paid (plane ticket, living quarters, etc.)
- Excellent entry into portfolio/resume/CV
- Support from world class network of teaching staff
- Experience the technology and skills without the stress of actual development/engineering
- Be a part of the mission to diversify the tech industry
- Be on the cutting edge of new program development
- Work with students and staff from around the world
- Share your experience and knowledge with future generations

**About Coding Dojo**

Coding Dojo is a global education technology company that offers a three full-stack computer programming Bootcamp, as well as courses on Data Science and other emerging technologies. Our innovative curriculum and Learning Management System is designed to train students to become self-sufficient developers, regardless of their technical background. We also make it our mission to support underserved communities and increase diversity in the tech industry.

This position is a rare opportunity to join a rapidly growing company and make a positive impact in many people's lives. At Coding Dojo we pride ourselves on possessing a culture of execution that caters to wavemakers rather than wave riders. If you are interested in joining a diverse and dynamic team who values speed, continuous improvement, measurement, focus, accountability, and “attacking the gap”, you will feel right at home at Coding Dojo.
- The dojo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Coding Dojo is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities._

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

Position Summary

We are seeking a skilled Data Engineer to join our team supporting one of the world’s largest payment systems. In this role, you will be responsible for developing data marts and data pipelines that power critical reporting services.

What You’ll Do And What You’ll Need

Your Responsibilities

• Develop and maintain data pipelines using Hadoop, PySpark, and Airflow to ensure efficient and reliable data processing.
• Design and build data marts that support reporting and analytics needs for our payment system clients.
• Collaborate with stakeholders to understand data requirements and deliver anonymized datasets to banks and other clients upon request.
• Write advanced SQL queries for data analysis, supporting both internal and client-driven analytical needs.
• (Optional) Participate in data visualization and dashboarding tasks using Tableau, analyzing and presenting data insights as needed.

Experience & Skills We Are Looking For

Required

• Strong experience with SQL and Python .
• Hands-on experience with Hadoop, PySpark, and Airflow.
• Ability to analyze and process large-scale datasets.
• Good communication skills and the ability to translate business requirements into technical solutions.
• Readiness to business trip to UAE, Saudi Arabia if needed.
• Proficiency in English.
• Experience working with enterprise customers in Fintech
• Experience with Tableau or similar data visualization tools.
• Proficiency in Arabic

We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company.

If you have a passion for turning data into actionable insights and enjoy working closely with customers to solve challenging problems, we would love to hear from you!

Leave your resume, and we will contact you

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Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.

Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.

Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.

Optimize data storage and access strategies for improved performance and efficiency.

Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.

Create comprehensive documentation for data workflows and system architecture.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering or related roles
• Proficiency in programming languages such as Python, Java, or Scala
• Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB
• Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark)
• Strong analytical skills and attention to detail

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting

This job is active and still accepting applications.

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Data Engineer

Responsibilities:

• Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services), SSRS (Microsoft Reporting Services).
• Debug, monitor, and troubleshoot BI solutions.
• Create and deploy reports.
• Write relational and multidimensional database queries.
• Modify databases and products according to client needs.
• Create functional requirements.
• Create reports on databases.
• Design and develop database architectures.
• Use and implement Data Warehouse tools and concepts.
• Create development standards that comply with enterprise architecture guidelines.
• Extract data from multiple structured and unstructured data sources.
• Develop robust and presentable big data visualizations.

Requirements:

• 3+ years' experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
• Experience in using data visualization tools (Power BI, Tableau, AWS QuickSight, etc.).
• 3+ years' experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS, with the ability to write, analyze, and debug SQL queries.
• 3+ years' experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
• Bachelor's degree in MIS, Computer Science, or a related field, or an equivalent combination of education and experience.

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Job Responsibilities

1. Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
2. Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
3. Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
4. Optimize data storage and access strategies for improved performance and efficiency.
5. Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
6. Create comprehensive documentation for data workflows and system architecture.

Minimum Requirements

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.

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• Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform.
• Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
• Optimize data transformation workflows to improve performance and scalability.
• Data Infrastructure and Platform Management:
• Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
• Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
• Data Governance and Metadata Management:
• Collaborate with the data governance team to establish data policies, standards, and procedures.
• Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.
• Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.
• 5-6 years of experience as a Data Engineer or a related role in a data-driven organization.
• Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.
• Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic, Google Bigquery, Mongodb).
• Expertise in data modeling, data quality management, and metadata management.
• Proficient in programming languages such as Python or Java, and experience with SQL.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and DevOps practices.
• Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
• Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

Preferred Qualifications:

• Familiarity with data visualization and business intelligence tools (e.g., Tableau, Qlik, etc.).
• Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.
• Project management experience and the ability to lead data integration and infrastructure initiatives.

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Job Responsibilities:

1. Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
2. Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
3. Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
4. Optimize data storage and access strategies for improved performance and efficiency.
5. Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
6. Create comprehensive documentation for data workflows and system architecture.

Minimum Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 3+ years of experience in data engineering or related roles.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
5. Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
6. Strong analytical skills and attention to detail.

#J-18808-Ljbffr

Data Engineer

Responsibilities:

1. Design and implement highly available Business Intelligence solutions, Big Data, and Integration systems using technologies like SSIS (Microsoft Integration Services) and SSRS (Microsoft Reporting Services).
2. Debug, monitor, and troubleshoot BI solutions.
3. Create and deploy reports.
4. Write relational and multidimensional database queries.
5. Modify databases and products according to client needs.
6. Create functional requirements and reports on databases.
7. Design and develop database architectures.
8. Use and implement Data Warehouse tools and concepts.
9. Create development standards that comply with enterprise architecture guidelines.
10. Extract data from multiple structured and unstructured data sources.
11. Develop robust and presentable big data visualizations.
12. Require 3+ years of experience with ETL tools such as DTS, SSIS (preferred), and SSAS.
13. Experience in using data visualization tools (Power BI, Tableau, AWS QuickSight, etc.).
14. Require 3+ years of experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS, with the ability to analyze and debug SQL queries.
15. Require 3+ years of experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
16. Bachelor’s degree in MIS, Computer Science, or a related field, or an equivalent combination of education and experience.

Note: The job description was missing information about whether the position is still active or expired. Assuming it is active unless indicated otherwise.

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