
Chief Data Solutions Architect
1 day ago
Key Responsibilities:
- 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 (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.
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
- Knowledge of data lake and modern data architecture
- Strong SQL skills and ability to work with large datasets
- Hands-on with CI/CD and DevOps practices for data solutions
- Familiarity with Oil & Gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data)
- Understanding of data ingestion pattern
- Extensive knowledge of data bricks and Azure Data Factory
- SQL Knowledge
- Incremental and append data load
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