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DataBricks Consultant

KPMG Global Services

Bangalore, Karnataka, IndiaOn Site

Original Job Summary

DataBricks Consultant at KPMG Global Services

Bachelor's or higher degree in Computer Science or a related discipline or equivalent work experience (minimum 5 years) required.

Minimum Qualifications:

  • 2+ years of consulting or client service delivery experience on Azure.
  • 2+ years of developing data ingestion, processing, and analytical pipelines using big data, SQL Server, and Azure Synapse.
  • Extensive hands-on experience with Azure Native services, including ADLS, Azure Data Factory, Azure Functions, and more.
  • Experience in ETL, data ingestion, and using technologies such as Databricks, PySpark, and SparkSQL.
  • Strong background in RDBMS and big data file formats, compression, and live streaming technologies.
  • Familiarity with DevSecOps, CI/CD deployments, and cloud migration tools (e.g., Azure Data Factory, Data Migration Service).
  • Experience with developer tools including Azure DevOps, Visual Studio Team Server, Git, and Jenkins.

This DataBricks Consultant role leverages extensive Azure and big data technology expertise to deliver practical consulting solutions.

Key skills/competency

  • Azure
  • Databricks
  • ETL
  • Big Data
  • Client Delivery
  • DevOps
  • SQL
  • Python
  • Data Ingestion
  • Cloud Migration

How to Get Hired at KPMG Global Services

🎯 Tips for Getting Hired

  • Customize resume: Tailor your skills to match Azure requirements.
  • Showcase projects: Highlight your data pipeline successes.
  • Research KPMG: Understand their consulting culture and recent news.
  • Prepare for interviews: Practice technical and consulting scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Azure native services documentation.
Practice building data ingestion pipelines.
Study Databricks and PySpark environments.
Familiarize with CI/CD and DevSecOps tools.

Behavioral Questions

Describe client engagement experiences.
Explain consultative problem solving.
Discuss project management challenges.
Detail team collaboration scenarios.