In_senior Associate_ Data Engineering__ Data & Analytics _ Advisory _mumbai

PwC UK

Mumbai, India
On-site
Spark, pyspark, and python
Scalable data pipelines and architectures
Data processing and transformation
Leverage advanced technologies and techniques to design and develop robust data solutions for clients

Job Summary

  • Leverage advanced technologies and techniques to design and develop robust data solutions for clients.
  • Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

Matching Summary

Leverage advanced technologies and techniques to design and develop robust data solutions for clients.

Skills & Requirements

Must-have

  • Spark, PySpark, and Python
  • Scalable data pipelines and architectures
  • Data processing and transformation
  • Data warehousing concepts and ETL

Nice-to-have

  • Cloud-native data engineering platforms
  • Databricks, Azure Data Engineering or AWS
  • Containerization and orchestration technologies
  • Data visualization tools and techniques
  • Machine learning and data science concepts

Key Requirements

  • 5-8 Years of experience
  • Spark 3.0 (Mandatory)
  • Databricks Advanced/Professional Architect
  • B.Tech / M.Tech / MCA/MBA

Work Rights

Not specified

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