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Description

Our client, a leading oil and gas company, is embarking on a key cloud modernization initiative and seeks a Data Engineer experienced with Databricks in AWS environments. This is an opportunity to shape the data landscape for an established energy leader

Key Responsibilities:

+ Lead the implementation and integration of Databricks within AWS-based infrastructure

+ Design, build, and optimize scalable data pipelines for large, multi-source datasets

+ Collaborate with data architects, business analysts, and project managers to deliver analytics solutions aligned with business goals

+ Develop and maintain ETL processes, ensuring data quality and reliability across systems

+ Automate data workflows and enable advanced analytics for operations, production, and business intelligence

+ Support data governance best practices, security, and compliance within a highly regulated sector

+ Document solutions and provide guidance on infrastructure and platform best practices

Requirements

Key Qualifications:

+ Proven experience working as a Data Engineer in enterprise settings

+ Hands-on expertise implementing and configuring Databricks in AWS

+ Strong Python or Scala skills; advanced SQL required

+ Familiarity with cloud data lakes (Amazon S3), data warehousing concepts, and distributed computing

+ Experience in the oil and gas industry or other asset-heavy environments preferred

+ Ability to work cross-functionally and communicate effectively with technical and business stakeholders

+ Proficiency with CI/CD data deployment tools and agile development methods

Preferred Skills:

+ Experience with ML/AI pipelines and Delta Lake

+ AWS certifications (Big Data, Data Analytics, etc.)

+ Knowledge of downstream Oil & Gas operations data (production, drilling, SCADA, etc.)

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