In_senior Associate_ Aws Devops- Data And Analytics_advisory_pan India

PwC

Aws glue, lambda, redshift, s3
Pyspark and airflow etl/elt
Data quality, integrity, and security
Design, develop, and maintain robust data pipelines using AWS services such as Glue, Lambda, Redshift, and S3

Job Summary

  • Design, develop, and maintain robust data pipelines using AWS services such as Glue, Lambda, Redshift, and S3.
  • Implement ETL/ELT processes using PySpark and Airflow to ingest, transform, and load data from various sources including IoT devices and energy systems.
  • Support real-time and batch data processing for analytics and reporting on energy usage, system health, and predictive maintenance.

Matching Summary

Design, develop, and maintain robust data pipelines using AWS services such as Glue, Lambda, Redshift, and S3.

Skills & Requirements

Must-have

  • AWS Glue, Lambda, Redshift, S3
  • PySpark and Airflow ETL/ELT
  • Data quality, integrity, and security
  • Real-time and batch data processing
  • AI/ML, NLP, Generative AI models

Nice-to-have

  • Azure, Google Cloud skills
  • Cross-functional team collaboration
  • Agile Scalability
  • Analytical Thinking
  • Accepting Feedback

Key Requirements

  • 3-5 Years of experience
  • Advanced degree (Master’s or Ph.D.)
  • Master Degree, Bachelor Degree

Work Rights

Not specified

Tailored Resume

Cover Letter