Oil Data Engineer Specialist

2 days ago

Agra, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Oil Data Solutions Specialist

Description:

The ideal candidate will have strong experience in AWS cloud services, data engineering and knowledge of oil & gas upstream, midstream or downstream processes to support advanced analytics, reporting, and digital transformation initiatives.

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.
  • Evaluate 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. Additional skills include 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 with CI/CD and DevOps practices for data solutions.
  • Familiarity with oil & gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data).

Requirements:

  • 5+ years of experience in a related field.
  • Extensive knowledge of AWS cloud services.
  • Strong understanding of data engineering and oil and gas processes.
  • Ability to collaborate with cross-functional teams.

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