<p><strong>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</strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead the implementation and integration of Databricks within AWS-based infrastructure</li><li>Design, build, and optimize scalable data pipelines for large, multi-source datasets</li><li>Collaborate with data architects, business analysts, and project managers to deliver analytics solutions aligned with business goals</li><li>Develop and maintain ETL processes, ensuring data quality and reliability across systems</li><li>Automate data workflows and enable advanced analytics for operations, production, and business intelligence</li><li>Support data governance best practices, security, and compliance within a highly regulated sector</li><li>Document solutions and provide guidance on infrastructure and platform best practices</li></ul><p><br></p>

<p><strong>Key Qualifications:</strong></p><ul><li>Proven experience working as a Data Engineer in enterprise settings</li><li>Hands-on expertise implementing and configuring Databricks in AWS</li><li>Strong Python or Scala skills; advanced SQL required</li><li>Familiarity with cloud data lakes (Amazon S3), data warehousing concepts, and distributed computing</li><li>Experience in the oil and gas industry or other asset-heavy environments preferred</li><li>Ability to work cross-functionally and communicate effectively with technical and business stakeholders</li><li>Proficiency with CI/CD data deployment tools and agile development methods</li></ul><p><strong>Preferred Skills:</strong></p><ul><li>Experience with ML/AI pipelines and Delta Lake</li><li>AWS certifications (Big Data, Data Analytics, etc.)</li><li>Knowledge of downstream Oil & Gas operations data (production, drilling, SCADA, etc.)</li></ul><p><br></p>

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