Posted On Oct 30

This job posting has expired

IOT - Data Engineer


Location : Bengaluru, Karnataka

Headquarters : 1900 Camden Avenue, #66, San Jose, CA 95124.

Hiring Mode : Full Time

Experience : Mid Level

  • SQL Database, Azure HDInsight / Databricks, SQL data warehouse.
You Have:
  • 3 - 5 years of software development experience
  • Minimum 2 year 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 / AWS Cloud
  • Translated complex analytical requirements into technical design including data models, ELTs 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 on 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