
Senior Data Solutions Engineer
2 days ago
Job Opportunity
We are seeking an experienced Data Architect to design and develop scalable data pipelines and ETL/ELT solutions using AWS cloud services.
Main Responsibilities:
- Ingest, process, and store structured/unstructured data from various sources such as IoT devices, sensors, ERP systems, drilling logs, production data, etc.
- Implement data lake and data warehouse solutions leveraging expertise in AWS services: S3, Redshift, Glue, Athena, EMR, Lake Formation, Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional)
- Collaborate with domain experts, data scientists, and business analysts to translate Oil & Gas business requirements into data-driven solutions ensuring data governance, quality, and security compliance
- Develop and maintain efficient data pipelines for performance, cost, and scalability
- Support real-time data streaming and analytics using AWS services: Kinesis, Kafka, Lambda
- Document technical solutions and provide knowledge transfer to the team
Requirements:
- Familiarity with data ingestion patterns
- Proficiency in ETL/ELT development using PySpark, Python, or SQL
- Understanding of data modeling, warehousing, and performance tuning
- Hands-on experience with CI/CD and DevOps practices for data solutions
Skill Requirements:
- Azure Data Factory and data bricks knowledge
- SQL skills and ability to work with large datasets
- Incremental and append data load expertise
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