In_senior Associate_aws Data Architect_d&a_advisory_pan India

Dc404

Aws big data technologies
Data pipeline development
Data lake and data warehouse concepts
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.
  • They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
  • 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

  • AWS big data technologies
  • Data pipeline development
  • Data lake and data warehouse concepts
  • Data quality and reliability monitoring
  • Deploying production data environments
  • SQL and PySpark programming

Nice-to-have

  • Accepting Feedback
  • Active Listening
  • Agile Scalability
  • Analytical Thinking
  • Communication
  • Creativity
  • Data Anonymization
  • Data Architecture
  • Database Administration
  • Database Security Best Practices
  • Databricks Unified Data Analytics Platform
  • Data Engineering Platforms
  • Data Infrastructure
  • Data Integration
  • Data Modeling
  • Apache Airflow
  • Apache Hadoop
  • Azure Data Factory

Key Requirements

  • 3 - 8 years of experience
  • Bachelor of Technology, MBA, MCA, or M.Tech degree
  • AWS Data Engineer mandatory skill
  • No work visa sponsorship available

Work Rights

Not specified

Tailored Resume

Cover Letter