
Senior Data Engineer
4 days ago
Job Title: Data Engineer for Oil and Gas
Location: Offshore/Remote
Experience: 5+ years
As a seasoned Data Engineer, you will design, build, and optimize scalable data pipelines and cloud solutions to support advanced analytics, reporting, and digital transformation initiatives in the oil and gas industry.
Key Responsibilities:
Data Engineering
• Design and develop scalable data pipelines using AWS cloud services.
• Ingest, process, and store structured/unstructured data from multiple sources (IoT devices, sensors, ERP systems, drilling logs, production data, etc.).
• Implement data lake and data warehouse solutions using AWS services such as S3, Redshift, Glue, Athena, EMR, and Lake Formation.
• Optimize data pipelines for performance, cost, and scalability.
• Collaborate with domain experts, data scientists, and business analysts to translate business requirements into data solutions.
• Ensure data governance, data quality, and security compliance.
• Support real-time data streaming and analytics using AWS services (Kinesis, Kafka, Lambda).
• Document technical solutions and provide knowledge transfer to the team.
• Proficiency in AWS services:
- S3, Redshift, Glue, Athena, EMR, Lake Formation
- Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional)
• Expertise in ETL/ELT development using PySpark, Python, or SQL.
• Experience with data modeling, warehousing, and performance tuning.
• Knowledge of data lake and modern data architecture.
• Strong SQL skills and ability to work with large datasets.
• Hands-on experience with CI/CD and DevOps practices for data solutions.
• Familiarity with oil and gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data).
• Additional desirable skills include:
- Understanding of data ingestion patterns.
- Extensive knowledge of data bricks and Azure Data Factory.
- SQL knowledge.
- Incremental and append data load.
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