
Data Engineer
2 days ago
Job Summary:
We are seeking an experienced Data Engineer with oil and gas industry expertise to design, build, and optimize scalable data pipelines and cloud solutions. The ideal candidate will have strong experience in AWS cloud services, data engineering, and knowledge of oil and gas upstream, midstream, or downstream processes.
Key Responsibilities:
1. Design, develop, and maintain scalable data pipelines and ETL/ELT solutions using AWS cloud services.
2. Ingest, process, and store structured/unstructured data from multiple sources.
3. Implement data lake and data warehouse solutions.
4. Optimize data pipelines for performance, cost, and scalability.
5. Collaborate with domain experts, data scientists, and business analysts to translate oil and gas business requirements into data solutions.
6. Ensure data governance, data quality, and security compliance.
7. Support real-time data streaming and analytics using AWS services.
Requirements:
The ideal candidate will possess strong technical skills in AWS services such as S3, Redshift, Glue, Athena, EMR, and Lake Formation. Proficiency in ETL/ELT development using PySpark, Python, or SQL is also essential. Familiarity with oil & gas industry datasets and use cases is a plus. Experience with data ingestion patterns, extensive knowledge of data bricks and Azure Data Factory, SQL skills, and ability to work with large datasets is highly desirable.
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