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8 hours ago
- Design, develop and maintain scalable data pipelines and ETL/ELT solutions using AWS cloud services.
- Ingest, process and store structured/unstructured data from multiple sources, including IoT devices, sensors, ERP systems, drilling logs, production data etc.
- Implement data lake and data warehouse solutions.
- Optimize data pipelines for performance, cost and scalability.
- Collaborate with domain experts, data scientists and business analysts to translate Oil & Gas 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 & Gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data)
This is an excellent opportunity for professionals looking to advance their careers in the field of data engineering. The successful candidate will have the chance to work on cutting-edge projects, collaborate with a talented team and grow professionally.
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