Data Engineer - IoT

Job description

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.
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.
Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases.
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.
Excellent analytical and problem-solving skills.
Knowledge of OT network protocols like OPC UA, CAN Bus and similar protocols.
Mandatory Skills : PySpark or Scala, Kafka, SparkSQL, Cloud exposure (Azure/ AWS), ML on Python.

Role: Data Engineer
Employment Type: Full Time, Permanent
Role Category: Software Development

Education:
UG: B.Tech/B.E. in Computers, BCA in Computers, B.Sc in Computers
PG: M.Tech in Computers, MS/M.Sc(Science) in Computers, MCA in Computers
Doctorate: Doctorate Not Required

Key Skills:
MQTT, Azure, software development, data management, Dockers, PySpark, IOT data management, AMQP, CI/CD, AWS Cloud, Azure Cosmos, Python.