| Telematics Data Engineer for Schaumburg , IL or Remote at Remote, Remote, USA |
| Email: [email protected] |
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From: Kiran Nagani, GAC Solutions [email protected] Reply to: [email protected] Hello, Hope you are doing well, This is Kiran from GAC Solutions . I have an excellent job opportunity with one of our premier clients. Since it is an urgent requirement your prompt response is appreciated. The following is a brief job description for your reference. Role: Telematics Data Engineer Location: Schaumburg , IL _ Remote Duration: 6+ months Job description: Job Summary We are seeking a highly skilled and motivated Telematics Data Engineer to join our team. This role requires expertise in telematics, IoT, and commercial auto lines, coupled with strong analytical and coding abilities. The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines, analyzing telematics datasets, and providing thought leadership in leveraging telematics data for business outcomes. You will collaborate with cross-functional teams and work with data from aggregators and IoT sources to deliver actionable insights. Key Responsibilities 1. Data Engineering & Development Build and maintain robust data pipelines for ingesting, processing, and storing telematics data from IoT devices and third-party aggregators. Develop efficient ETL processes to ensure high-quality data integration into analytics platforms. Write clean, reusable, and optimized code to handle large-scale datasets. 2. Data Analysis & Insights Analyze telematics datasets to uncover patterns, trends, and actionable insights related to commercial auto lines, fleet performance, and driver behavior. Collaborate with data scientists to develop predictive models and risk assessment tools. Present insights to stakeholders through visualizations and reports using tools like Tableau or Power BI. 3. Thought Leadership Provide expertise on best practices in telematics data utilization for the commercial auto line industry. Stay ahead of emerging trends in IoT and telematics to recommend innovative solutions. Act as a subject matter expert in discussions on telematics data integration and application. 4. IoT Integration & Data Aggregation Work with IoT devices and communication protocols to ingest real-time telematics data (e.g., GPS, accelerometers, fuel sensors). Integrate data from multiple sources, including third-party aggregators, into centralized platforms for seamless analysis. Evaluate data aggregator offerings to ensure accuracy, reliability, and alignment with business needs. 5. Collaboration & Stakeholder Engagement Partner with underwriting, claims, and fleet management teams to address business challenges using telematics data. Collaborate with architects and analysts to align engineering solutions with organizational objectives. Support ad-hoc data requests and provide technical expertise to enhance decision-making. Qualifications & Skills Education Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Experience 5+ years of experience in data engineering, with at least 2 years focused on telematics or IoT. Proven track record in the commercial auto line or fleet management domain is highly desirable. Technical Skills Strong programming skills in Python, SQL, and Scala (or equivalent languages). Experience with data pipeline tools such as Apache Kafka, Apache Spark, or Airflow. Proficiency with cloud platforms (AWS, Azure, or GCP), including IoT-related services (e.g., AWS IoT Core, Azure IoT Hub). Knowledge of databases, including relational (e.g., PostgreSQL) and time-series databases (e.g., TimescaleDB). Familiarity with IoT protocols like MQTT, CAN bus, or CoAP. Analytical & Business Skills Strong problem-solving and analytical skills for interpreting large datasets. Experience with visualization tools like Tableau or Power BI Understanding of data governance, security, and compliance standards in telematics. Soft Skills Excellent communication and presentation skills for technical and non-technical stakeholders. Demonstrated ability to provide thought leadership and guide strategic decisions. Proactive, self-driven, and eager to learn new technologies and methodologies. Preferred Qualifications Experience in machine learning or predictive modeling for telematics data. Understanding of insurance risk assessment and fleet management operations. Certification in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer). Thanks, Kiran Senior Recruiter E: [email protected] www.gacsol.com Experts in Digitalization and Engineering - Enterprise 4.0 Keywords: business intelligence active directory information technology Illinois Telematics Data Engineer for Schaumburg , IL or Remote [email protected] |
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| 08:05 PM 24-Jan-25 |