Big Data and IoT Expertise—Keeping Pace with Rapidly Changing Technology
Big Data, the Cloud, and IoT have converged for a perfect storm of technology that is driving InsurTech disruption around the world. The rapid growth in these areas has resulted in a shortage of qualified personnel in this space, making it challenging for many organizations to find qualified resources. What’s more, clients may not have the time to screen candidates and their staff augmentation vendors may not understand these complex new technologies well enough to properly vet candidates.
With a focus on financial services and insurance, SynergisticIT has years of experience in Big Data, Cloud, and IoT. We have developed a deep and specialized talent network that we can leverage for your next project. Using our proven, proprietary search and screening process, we will find you the quality, skilled resources you need to complete your next initiative on time and on budget.
We have a proven track record of providing a global commercial specialty insurance company with these types of resources on an ongoing basis, where they have played a key role in architecting, designing, and developing a cutting edge IoT Sensor and Big Data cloud infrastructure for this client. Rely on us to provide you the quality, professional resources you need for your projects.
Our Big Data, Cloud, and IoT resources include:
- PLC Programmers who program PLC IoT devices using Function Block Diagram, Ladder diagram, STL and Structured Text languages. They are fully knowledgeable in Allen Bradley, Alerton, Siemens, Rockwell and Schneider equipment and protocols such as BACnet, Modbus, DF-1, LonWorks and OPC.
- Big Data Engineers assist clients in the use of IoT sensor technologies and the infrastructure needed to stream the data to the central Big Data repository. They have a strong understanding of Big Data pipelines, streaming and ingestion tools such as Spark, Scala, and Kafka.
- Big Data and Cloud Architects are responsible for the sizing and allocation of Big Data repositories in the Cloud. Our resources played a key role in the evaluation of Big Data vendors HDP, AWS EMR, Azure DataLake and Databricks. Our Architects can provide guidance on the latest Hadoop stack tools (Hadoop, Hortonworks, HDP, Spark, HBase, Presto, Hive, EMR, EC2, S3, Cassandra) on Cloud platforms such as AWS or Azure.
- Data Scientists work with vast amounts of unstructured data to see trends and build models to provide predictive and preventive analytics. Using languages such as Python, R and Scala along with tools like Spark, our Data Scientists work with engineers to develop algorithms that can evaluate sensor data to determine when equipment is exhibiting abnormal behavior and/or is headed for failure.
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