In_senior Manager_azure Architect _data & Analytics_advisory _mumbai

pwc.is

Mumbai, India
Pyspark, sparksql, databricks on azure
Azure data factory etl pipelines
Data governance principles
Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure

Job Summary

  • Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure.
  • Build, test, and deploy sophisticated ETL pipelines using Azure Data Factory and other Azure-based tools, ensuring seamless data flow from various sources to destinations including ADLS Gen 2.
  • At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Matching Summary

Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure.

Skills & Requirements

Must-have

  • PySpark, SparkSQL, Databricks on Azure
  • Azure Data Factory ETL pipelines
  • Data governance principles
  • Git and DevOps best practices
  • Banking, insurance, pharma industry knowledge

Nice-to-have

  • Machine learning frameworks familiarity
  • Data science methodologies understanding
  • Articulating complex technical concepts
  • Collaborating with cross-functional teams

Key Requirements

  • 11 – 17 years of experience
  • Azure, Databricks certification required
  • Btech/MBA/MCA degree required

Work Rights

Not specified

Tailored Resume

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