In_director_core Data Practitioner _data And Analytics_advisory_bangalore

PwC

Bangalore, India
Databricks, snowflake, gcp, azure
Data architecture and pipeline design
Cloud-native engineering
Leverage data to drive insights and make informed business decisions using advanced analytics techniques

Job Summary

  • Leverage data to drive insights and make informed business decisions using advanced analytics techniques.
  • Lead end-to-end architecture and delivery of data platforms using Databricks, Snowflake, GCP, and Azure.
  • Mentor and grow a team of data professionals and contribute to practice development.

Matching Summary

Leverage data to drive insights and make informed business decisions using advanced analytics techniques.

Skills & Requirements

Must-have

  • Databricks, Snowflake, GCP, Azure
  • Data architecture and pipeline design
  • Cloud-native engineering
  • Spark, SQL, Python, Delta Lake
  • Client-facing engagements and workshops
  • Data governance, security, compliance

Nice-to-have

  • AI/ML integration
  • Data mesh or data fabric
  • SAP Datasphere, Analytics Cloud
  • Stakeholder management skills
  • Practice building and proposal development

Key Requirements

  • 12+ years relevant experience
  • BE, B.Tech, ME, M.Tech, MBA, MCA (60% above)
  • Deep expertise in Databricks, Snowflake, Azure Data Services, and Google Cloud Platform
  • Strong experience in data architecture, pipeline design, and cloud-native engineering
  • Hands-on with Spark, SQL, Python, Delta Lake, and streaming frameworks
  • Proven ability to lead client-facing engagements, workshops, and solution presentations
  • Experience with data governance, security, and compliance frameworks
  • Strong understanding of distributed systems, data modeling, and performance optimization

Work Rights

Not specified

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