Data Engineer Lead, OT Data, Oil & Gas

🕒 February 23

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines. • Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians, DCS, PLC, and IoT sensors. • Cloud Data Platform Development: Implement and manage data solutions on Microsoft Azure, leveraging services like Azure IoT Hub. • Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets. • Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance and anomaly detection. • Champion Master Data Management (MDM): Create a single source of truth for critical data domains. • Ensure Data Quality & Governance: Implement data quality checks and monitoring to ensure accuracy and consistency. • Embrace Industry Standards: Implement industry-specific standards for interoperability across sectors. • Collaborate & Innovate: Work with cross-functional teams to understand data needs and deliver effective solutions. • Automate & Optimize: Identify automation opportunities to improve data delivery and scalability. • Security First: Maintain security best practices to protect sensitive data assets.

🎯 Requirements

• 6+ years of experience in data engineering • Bachelor's in engineering, Information Systems, or a related quantitative field • Experience within oil and gas industry is highly preferred • Demonstrable experience building and operationalizing large-scale data pipelines and applications • Expert-level proficiency in SQL and Python for data manipulation and pipeline development • Hands-on experience with distributed computing frameworks like Apache Spark (PySpark) • Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse) • Proven experience with modern data platforms Databricks Delta Lake • Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models • Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory • Strong understanding of both relational and NoSQL databases • Proficiency with Git and CI/CD best practices

🏖️ Benefits

• Flexible remote work arrangements