In_senior Associate_ Aws Devops- Data And Analytics_advisory_pan India

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Aws glue, lambda, redshift, s3
Pyspark and airflow etl/elt
Data quality, integrity, and security
Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis

Job Summary

  • Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
  • Design, develop, and maintain robust data pipelines using AWS services such as Glue, Lambda, Redshift, and S3.
  • 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

Focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

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

Nice-to-have

  • Agile Scalability
  • Analytical Thinking
  • Data Architecture
  • Database Optimization
  • Accepting Feedback

Key Requirements

  • 3-5 Years of experience
  • Advanced degree (Master’s or Ph.D.)
  • DevOps Engineering

Work Rights

Not specified

Tailored Resume

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