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Data Engineer at Master-Works
Riyadh, Riyadh Region, Saudi Arabia -
Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Nosql, Python, Java, Scala, Data Warehousing, Etl, Data Modeling, Data Ingestion, Data Pipelines, Testing, Validation, Troubleshooting

Industry

IT Services and IT Consulting

Description
Position Overview: Master Works is seeking a talented Data Engineer to join our dynamic team. In this role, you will be responsible for designing, constructing, and maintaining the data architecture and data pipelines that support our data-driven decision-making process. Your expertise will help us manage and utilize our data resources efficiently. Key Responsibilities: Develop and implement data ingestion processes to ensure streamlined flow of data into the system. Design and maintain scalable data pipelines and architectures for optimal performance and reliability. Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs. Ensure data quality and integrity through rigorous testing and validation. Monitor the performance of data pipelines and troubleshoot any issues as they arise. Create documentation for data models, workflows, and processes for future reference and onboarding. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering or a similar role. Proficient in SQL and familiar with NoSQL databases. Strong programming skills in languages like Python, Java, or Scala. Experience with data warehousing and ETL tools. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team-oriented environment.
Responsibilities
The Data Engineer will be responsible for designing, constructing, and maintaining the data architecture and data pipelines that support data-driven decision-making. Key tasks include developing data ingestion processes and ensuring data quality and integrity through rigorous testing.