In_senior Associate_cloud Data Engineer_data And Analytics_advisory_pan India

PwC

Cloud data engineer
Aws, azure, databricks, gcp
Pyspark or spark
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients

Job Summary

  • At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks, and GCP.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.

Matching Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

Skills & Requirements

Must-have

  • Cloud Data Engineer
  • AWS, Azure, Databricks, GCP
  • PySpark or Spark
  • Data ingestion and transformation
  • Data warehousing
  • Spark job performance optimization

Nice-to-have

  • Leveraging advanced technologies
  • Transforming raw data
  • Driving business growth
  • Thrive in work and life
  • Bring their true selves

Key Requirements

  • 4-7 years of experience in data engineering
  • Proficiency in PySpark or Spark
  • Proven experience with data ingestion, transformation, and data warehousing
  • Hands-on experience with cloud services (AWS/Azure/GCP)
  • Demonstrated ability in performance optimization of Spark jobs
  • BE/BTECH, ME/MTECH, MBA, MCA

Work Rights

Not specified

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