Azure Databricks - Architect

Birlasoft ( India ) Limited

Pune District

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

Birlasoft ( India ) Limited in Pune is seeking an experienced Azure Data Architect with 14 to 16 years of experience. The ideal candidate will possess strong skills in Azure Databricks, ADF, and PySpark and will be responsible for designing and implementing secure, scalable cloud solutions.

The role involves collaborating with clients to translate business requirements into technical solutions, as well as conducting training sessions on cloud technologies. This position offers a chance to work on innovative cloud projects in a dynamic environment.

Qualifications

  • 14 to 16 years of experience, with 3+ years as Azure Data Architect.
  • Experience in Azure Databricks, ADF, architecture, and PySpark is mandatory.
  • Experience with integration of different data sources with Data Warehouse and Data Lake.

Responsibilities

  • Design and implement secure and scalable cloud-based solutions.
  • Collaborate with clients to understand business requirements.
  • Conduct knowledge sharing and training sessions on cloud technologies.

Skills

Azure Databricks
Azure Data Factory
Architecture
PySpark

Job description

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Description

Azure Data Architect

Experience: 14 to 16 Years, 3+ Years of experience in Azure Data Architect

Area(s) of responsibility
  • Cloud Architect with experience in Azure ADF, Databricks, PySpark
  • Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud
  • Experience in Azure Databricks and ADF, Azure Synapse and PySpark
  • Experience with integration of different data sources with Data Warehouse and Data Lake is required
  • Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
  • Understanding of data modelling and data architecture concepts
  • To be able to clearly articulate pros and cons of various technologies and platforms
  • Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms.
  • Define and implement cloud governance and best practices.
  • Identify and implement automation opportunities to increase operational efficiency.
  • Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies.

Mandatory Skillset: Azure Databricks, ADF, Architecture, PySpark

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