Data Engineer (Telematics/IoT)

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Tiger Analytics is looking for a fully remote, experienced Telematics Data Engineer to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a part of our team, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

• Bachelors Degree in Data Science, Computer Science, or related field
• 4-8 years of Data Science and Machine Learning experience required
• Experience with batch, micro-batch, streaming, and distributed processing platforms
• Experience with distributed processing frameworks
• Experience with distributed storage and database platforms
• Experience with one or more programming languages in the context of data integration, data management, or analytics
• Experience working in the areas of telematics or related fields
• Experience working within Amazon Web Services (AWS) cloud computing environments
• Experience with terabytes, petabytes, or even exabytes of data
• Experience with platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm
• Familiarity with geospatial datasets and services, mobile device location and GPS tracks
• Experience with GPU-accelerated frameworks or libraries
• Experience with containerization tools such as Docker and Kubernetes