
AWS Data Engineer
5 hours 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 lakeand 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 lakeand 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).
• Candidate will also be judged in following skills:
- Understanding of data ingestion pattern.
- Extensive knowledge of data bricks & Azure Data Factory
- SQL Knowledge
- Incremental & Append data load
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