IOT/Streaming Developer
at MNC

Agency job
Apply to this job
Remote, Bengaluru (Bangalore)
2 - 6 yrs
₹6L - ₹15L / yr
Skills
Internet of Things (IOT)
Real time media streaming
Spark
PySpark
Apache Kafka
Job description

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

 

Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring
Similar jobs
Did not find a job you were looking for?
Search
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Want to apply for this role at MNC?
Apply for this job
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.