Telematics Data Engineer | CGEMJP00283855
Apply NowCompany: Scout Exchange
Location: Chicago, IL 60629
Description:
Role Name: Telematics Data Engineer for Commercial Auto Line
Location: / CHICAGO / Capgemini Office
Start date: 2/3/2025
JOB DESCRIPTION:
"Key Responsibilities
1. Data Engineering & Development
o Build and maintain robust data pipelines for ingesting, processing, and storing telematics data from IoT devices and third-party aggregators.
o Develop efficient ETL processes to ensure high-quality data integration into analytics platforms.
o Write clean, reusable, and optimized code to handle large-scale datasets.
2. Data Analysis & Insights
o Analyze telematics datasets to uncover patterns, trends, and actionable insights related to commercial auto lines, fleet performance, and driver behavior.
o Collaborate with data scientists to develop predictive models and risk assessment tools.
o Present insights to stakeholders through visualizations and reports using tools like Tableau or Power BI.
3. Thought Leadership
o Provide expertise on best practices in telematics data utilization for the commercial auto line industry.
o Stay ahead of emerging trends in IoT and telematics to recommend innovative solutions.
o Act as a subject matter expert in discussions on telematics data integration and application.
4. IoT Integration & Data Aggregation
o Work with IoT devices and communication protocols to ingest real-time telematics data (e.g., GPS, accelerometers, fuel sensors).
o Integrate data from multiple sources, including third-party aggregators, into centralized platforms for seamless analysis.
o Evaluate data aggregator offerings to ensure accuracy, reliability, and alignment with business needs.
5. Collaboration & Stakeholder Engagement
o Partner with underwriting, claims, and fleet management teams to address business challenges using telematics data.
o Collaborate with architects and analysts to align engineering solutions with organizational objectives.
o Support ad-hoc data requests and provide technical expertise to enhance decision-making.
Qualifications & Skills
Education
Bachelor's or Master's 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)."
Location: / CHICAGO / Capgemini Office
Start date: 2/3/2025
JOB DESCRIPTION:
"Key Responsibilities
1. Data Engineering & Development
o Build and maintain robust data pipelines for ingesting, processing, and storing telematics data from IoT devices and third-party aggregators.
o Develop efficient ETL processes to ensure high-quality data integration into analytics platforms.
o Write clean, reusable, and optimized code to handle large-scale datasets.
2. Data Analysis & Insights
o Analyze telematics datasets to uncover patterns, trends, and actionable insights related to commercial auto lines, fleet performance, and driver behavior.
o Collaborate with data scientists to develop predictive models and risk assessment tools.
o Present insights to stakeholders through visualizations and reports using tools like Tableau or Power BI.
3. Thought Leadership
o Provide expertise on best practices in telematics data utilization for the commercial auto line industry.
o Stay ahead of emerging trends in IoT and telematics to recommend innovative solutions.
o Act as a subject matter expert in discussions on telematics data integration and application.
4. IoT Integration & Data Aggregation
o Work with IoT devices and communication protocols to ingest real-time telematics data (e.g., GPS, accelerometers, fuel sensors).
o Integrate data from multiple sources, including third-party aggregators, into centralized platforms for seamless analysis.
o Evaluate data aggregator offerings to ensure accuracy, reliability, and alignment with business needs.
5. Collaboration & Stakeholder Engagement
o Partner with underwriting, claims, and fleet management teams to address business challenges using telematics data.
o Collaborate with architects and analysts to align engineering solutions with organizational objectives.
o Support ad-hoc data requests and provide technical expertise to enhance decision-making.
Qualifications & Skills
Education
Bachelor's or Master's 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)."