
Cloud Data Engineer
8 hours ago
Key Responsibilities:
- We are looking for a skilled data architect to lead the design, development and maintenance of scalable data pipelines and ETL/ELT solutions using cloud services.
- The ideal candidate will have experience in ingesting, processing, and storing structured and unstructured data from various sources such as IoT devices, sensors, ERP systems, drilling logs and production data.
- This position requires collaboration with domain experts, data scientists and business analysts to translate Oil & Gas business requirements into data solutions.
- Strong attention to detail is required to ensure data governance, quality and security compliance.
- Real-time data streaming and analytics using AWS services (Kinesis, Kafka, Lambda) is also a key aspect of this role.
- Technical documentation and knowledge transfer to the team is essential.
Required Skills:
- AWS services: S3, Redshift, Glue, Athena, EMR, Lake Formation.
- Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional).
- ETL/ELT development using PySpark, Python or SQL.
- Data modeling, warehousing and performance tuning.
- 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 & Gas industry datasets and use cases.
Job Requirements:
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in data engineering and architecture.
- Experience with cloud-based data platforms.
- Excellent communication and teamwork skills.
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