Azure Data Engineer/Architect role;

Job Description for Azure Data Engineer/Architect role:

 Expectations

·         Good understanding of both Real-time and Batch processing systems

·         Knowledge of MQ /Broker systems like Service bus, Event Hubs, Kafka or IOT hubs

·         Working knowledge on Azure Data Factory, Azure Data Lake /Gen2, Azure functions, SQL , Data bricks and Webapp / API’s

·         Azure Logic Apps (good to have)

·         Good knowledge on AAD, service authentication.

·         Good in troubleshooting azure development, integration with microservices, API Management and data gateway.

·         Good knowledge on data engineering specially on EDW.

·         Knowledge on Azure ML Service is a plus

·         Knowledge on Azure DevOps.

 Good to have :

· Azure data engineering certification

· Azure Cognitive Services

 Skills Requires :

·         Knowledge on programming language  let say python, PySpark or , .Net, JAVA.

·         Working knowledge on shell script

·         Knowledgeable on Git, SBT or Maven dependencies

·         Knowledgeable with Editor VS Code, Visual Studio or Jupyter

·         5 -6 years of relevant experience.

 Location : Bangalore

About

Denovo HiTech solutions, is a global information technology solutions and services with a large pool of energetic specialists serving our customers, Delivering Solutions (custom & pre-packaged) that achieve targeted business results A strong leadership and a technical team with combination of agility, experience and out of the box thinking capability Have a wide range of offerings both services & technology to cater to the entire IT needs of any Enterprise We specialize in enabling the right solutions for our customers by providing the right vision and deploying the most sought after technology solutions Established in 2010 with HQ in Bangalore, India; servicing the APAC and Middle East markets Profitable every quarter since inception; 5 year revenue CAGR of 31% Our 4-5% of revenues dedicated to our India based “Solutions engineering, research & development” efforts Team distribution: 20% domain experts / BAs, 10% Architects, 20% Project managers & Leads.

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