JD for IOT DE:
The role requires experience in Azure core technologies – IoT Hub/ Event Hub, Stream Analytics, IoT Central, Azure Data Lake Storage, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight / Databricks, SQL data warehouse.
You Have:
- Minimum 2 years of software development experience
- Minimum 2 years of experience in IoT/streaming data pipelines solution development
- Bachelor's and/or Master’s degree in computer science
- Strong Consulting skills in data management including data governance, data quality, security, data integration, processing, and provisioning
- Delivered data management projects with real-time/near real-time data insights delivery on Azure Cloud
- Translated complex analytical requirements into the technical design including data models, ETLs, and Dashboards / Reports
- Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
- Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
- Successfully delivered large scale IOT data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
- Experience in handling telemetry data with Spark Streaming, Kafka, Flink, Scala, Pyspark, Spark SQL.
- Hands-on experience on containers and Dockers
- Exposure to streaming protocols like MQTT and AMQP
- Knowledge of OT network protocols like OPC UA, CAN Bus, and similar protocols
- Strong knowledge of continuous integration, static code analysis, and test-driven development
- Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
- Must have excellent analytical and problem-solving skills
- Delivered change management initiatives focused on driving data platforms adoption across the enterprise
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
Roles & Responsibilities
You Will:
- Translate functional requirements into technical design
- Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfill the technical design
- Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
- Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
- Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse, or SQL
- Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
- Automate core activities to minimize the delivery lead times and improve the overall quality
- Optimize platform cost by selecting the right platform services and architecting the solution in a cost-effective manner
- Deploy Azure DevOps and CI CD processes
- Deploy logging and monitoring across the different integration points for critical alerts
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon