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Sell life and health insurance by phone for a Chilean call center in a fully remote, Monday-to-Friday role. The position offers commissions and target-based bonuses.
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NOV ऊर्जा उद्योग के लिए उपकरण, प्रौद्योगिकियाँ और डिजिटल सेवाएँ विकसित करता है। 1862 से चली आ रही नवाचार की लंबी परंपरा के साथ, इसके समाधान ग्राहकों को सुरक्षित और कुशलतापूर्वक ऊर्जा उत्पादन में सहायता करते हैं और उद्योग को अधिक टिकाऊ प्रथाओं की ओर बढ़ने में योगदान देते हैं। NOV के पोर्टफोलियो में MYNOV भी शामिल है, जो एकल साइन-ऑन प्लेटफ़ॉर्म है और उपयोगकर्ताओं को NOV के विभिन्न अनुप्रयोगों तथा सेवाओं से जोड़ता है। कंपनी वैश्विक ऊर्जा क्षेत्र के ग्राहकों की सहायता के लिए विनिर्माण, परामर्श और ऊर्जा विशेषज्ञता को एक साथ लाती है।
Senior Data Engineer at NOV (Hybrid)
Build scalable data pipelines and analytics platforms for NOV’s drilling and energy operations. Support condition-based maintenance, drilling optimization, and machine learning initiatives.
विवरण
- Create and optimize high-performance data pipelines for analytics, condition-based maintenance, and drilling optimization metrics.
- Build, deploy, and support dependable batch and streaming ETL/ELT pipelines across structured, unstructured, time-series, and high-frequency sensor data.
- Design data models, features, and architectures for reporting, operational analytics, data science, machine learning, and AI use cases.
- Establish data quality controls, monitoring, testing, observability, and CI/CD practices for dependable production systems.
- Partner with engineering, data science, and operations teams to prepare data, engineer features, develop analytics, and deploy predictive and machine learning models.
- Provide hands-on technical leadership, promote sound engineering practices, and mentor colleagues.
- Convert operational needs into scalable data and analytics solutions while managing performance, quality, and reliability risks.
आवश्यकताएँ
- Bachelor’s or master’s degree in computer science, computer engineering, data engineering, or a related field.
- At least five years of professional experience in data engineering, software engineering, or a comparable data-focused role.
- Advanced practical experience with Python, PySpark, SQL, and modern data engineering tools.
- Track record of designing and operating scalable batch and streaming data pipelines.
- Solid understanding of data modeling, ETL/ELT, distributed processing, and cloud or hybrid data architectures.
- Experience with Databricks, Spark, SQL Server, data lakes, and SQL or NoSQL databases.
- Familiarity with Git, automated testing, CI/CD, and deployment automation.
- Technical leadership skills and the ability to collaborate across engineering, data science, and operations.
- Preferred: Background in data science, machine learning, or AI, including deploying analytical or predictive models.
- Preferred: Experience with predictive maintenance, anomaly detection, equipment monitoring, or operational optimization.
- Preferred: Experience working with industrial IoT, telemetry, SCADA, WITSML, or related operational technology data.
- Preferred: Knowledge of drilling operations, drilling optimization metrics, condition-based maintenance, and equipment reliability.
- Preferred: Databricks or cloud data engineering certification.
- Preferred: Experience using AWS or another major cloud platform.
- Preferred: Familiarity with oil and gas operations and technology.
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