Data Engineer

About the Job:
We are looking for an experienced Data Engineer proficient in designing, building, and maintaining scalable data pipelines and ETL processes. The ideal candidate will have expertise in Spark, Kafka, SQL/NoSQL databases, and time-series databases such as InfluxDB and TimescaleDB. Familiarity with oil & gas data standards, including OSIsoft PI and P&IDs, is a significant advantage. This off-site role will support data engineering needs, enabling efficient data integration and analytics within the oil and gas sector.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines using Spark and Kafka for real-time and batch data processing.
• Build and optimize ETL workflows and data integration processes to support business analytics and operational reporting.
• Manage SQL and NoSQL databases to ensure data quality, accessibility, and performance.
• Work with time-series databases such as InfluxDB and TimescaleDB for handling sensor and industrial data.
• Ensure data compliance with oil and gas industry standards, including handling data formats like OSIsoft PI and P&IDs.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable and scalable data solutions.
• Develop automation scripts and monitoring to maintain data pipeline health and reliability.
• Document data architecture, pipelines, and work processes for consistency and knowledge sharing.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience with big data tools (Spark, Kafka) and ETL development.
• Strong proficiency in SQL and NoSQL databases.
• Experience with time-series databases (InfluxDB, TimescaleDB) preferred.
• Knowledge of oil & gas data standards (OSIsoft PI, P&IDs) is highly valued.
• Familiarity with cloud platforms and containerized environments is a plus.
• Strong problem-solving skills and ability to work remotely with cross-functional teams.

Preferred Skills:

• Experience in oil & gas or industrial sector data engineering.
• Knowledge of data governance and compliance in industrial environments.
• Proficiency in Python or other scripting languages for automation.

Location: Al Khobar, Eastern, Saudi Arabia (Remote)
Job Type: Full-time