Azure Data Engineer opening For Kanerika Software Full Time

KANERIKA SOFTWARE PRIVATE LIMITED

3-8yrs

14 days ago

Hyderabad

Primary Skills : Application Development, Java, Pyspark, Azure, Azure Functions, Programming.

Secondary Skills : Spark, Rest Api, SQL.

No. of Positions : 4

Salary Range : 3-3 lac

Job Description

 

Responsibilities:

1. System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space.

2. To build data connectors for data ingestion either using logic app or REST APIs

3. To work with client advise on the best component for data storage on Azure

4. Build right data processing framework on Azure

5. Work with data sciences team to understand the models and enable model deployment on cloud using cloud analytics technology like Azure functions, Databricks and MLOps

6. Database programming on SQL

7. Responsible for building automated pipelines for data movement from final data summary table from SQL to consumption layer (PowerBI)

8. Work for with clients DevOps team for end to end model deployment

What we need

  1. Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)
  2. Database programming using any flavours of SQL
  3. Expertise in relational and dimensional modelling
  4. Exposure across all the SDLC process, including testing and deployment
  5. Exposure to cloud (Azure, AWS or GCP) is mandatory
  6. Good knowledge of Python and Spark are required
  7. Good understanding of how to enable analytics using cloud technology, ML Ops
  8. Experience in Cloud Infrastructure, Dev Ops using Cloud technology will be a plus
  9. Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure, AWS or GCP)
  10. Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge
  11. Ability to work with a global team of consulting professionals across multiple projects
  12. Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
  13. Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success
Job Description

 

Responsibilities:

1. System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space.

2. To build data connectors for data ingestion either using logic app or REST APIs

3. To work with client advise on the best component for data storage on Azure

4. Build right data processing framework on Azure

5. Work with data sciences team to understand the models and enable model deployment on cloud using cloud analytics technology like Azure functions, Databricks and MLOps

6. Database programming on SQL

7. Responsible for building automated pipelines for data movement from final data summary table from SQL to consumption layer (PowerBI)

8. Work for with clients DevOps team for end to end model deployment

What we need

  1. Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)
  2. Database programming using any flavours of SQL
  3. Expertise in relational and dimensional modelling
  4. Exposure across all the SDLC process, including testing and deployment
  5. Exposure to cloud (Azure, AWS or GCP) is mandatory
  6. Good knowledge of Python and Spark are required
  7. Good understanding of how to enable analytics using cloud technology, ML Ops
  8. Experience in Cloud Infrastructure, Dev Ops using Cloud technology will be a plus
  9. Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure, AWS or GCP)
  10. Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge
  11. Ability to work with a global team of consulting professionals across multiple projects
  12. Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
  13. Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success

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