S P A Enterprise Services

5 days ago

Hyderabad India S P A Enterprise Services Ltd. Full time

Job Description Role : Data Engineer Oil and Gas : Remote. Note : Minimum 2+ years in the Oil & Gas domain, preferably with upstream or midstream exposure. Data Engineer with hands-on experience in building robust data pipelines and managing data solutions within the Oil and Gas domain. The ideal candidate will have a strong background in data engineering, data modelling, and cloud-based data platforms with a clear understanding of upstream/downstream data structures, exploration data, and production workflows. This role involves working closely with stakeholders, business analysts, and domain experts to build a reliable, scalable, and secure data infrastructure that supports analytics, reporting, and AI/ML solutions. Key Responsibilities - Design, develop, and maintain data ingestion, transformation, and orchestration pipelines using technologies like PySpark, SQL, Databricks, and Airflow. - Integrate data from various sources including SCADA, seismic systems, IoT sensors, drilling logs, and ERP systems. - Perform data quality checks, data gap analysis, and resolve data inconsistencies across systems. - Collaborate with stakeholders to manage master data mapping and align it with transactional data (e., well data, asset data). - Work on data modeling for time-series data, production volumes, well logs, and reservoir data. - Implement and optimize Delta Lake and data lake architectures on Azure or AWS platforms. - Partner with data scientists and business teams to provision cleansed, validated, and transformed data for analytics use cases. - Prioritize stakeholder requests using structured frameworks (e., MoSCoW, RICE) and ensure delivery based on business impact. - Create visual prototypes or dashboards using Power BI/Tableau/Looker when specifications are vague and iterate based on feedback. - Handle stakeholder conflicts with professionalism and use data-backed reasoning to arrive at resolutions. Must-Have Skills - Strong programming skills in Python, SQL, and PySpark. - Proficiency with Databricks, Delta Lake, and data lakehouse concepts. - Experience working with cloud platforms: Azure Data Factory / AWS Glue / EMR. - Data modelling experience for Oil & Gas data types (wells, assets, production logs, seismic data). - Familiarity with data quality frameworks and master data management (MDM). - Version control (Git), CI/CD for data pipelines. - Excellent communication skills and stakeholder management. Good-to-Have Skills - Experience with Terraform or other Infrastructure-as-Code (IaC) tools. - Exposure to Palantir Foundry, especially for large-scale E&P data integration. - Knowledge of industry standards such as PPDM, WITSML. - Understanding of analytics, ML pipelines, or time-series forecasting. - Familiarity with data governance, access control, and compliance. Domain Experience - Minimum 2+ years in the Oil & Gas domain, preferably with upstream or midstream exposure. - Understanding of business processes like exploration & production (E&P), reservoir management, drilling operations, asset lifecycle, and real-time monitoring. Education - Bachelors or Masters in Computer Science, Data Engineering, Petroleum Engineering, or a related field. (ref:hirist.tech)

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