In_senior Associate_ Aws Devops- Data And Analytics_advisory_hyderabad
Virtualspaces Pwc
Hyderabad, India
Aws glue, lambda, redshift, s3
Pyspark and airflow etl/elt
Data quality, integrity, security
PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients
Job Summary
PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients.
Responsibilities include designing, developing, and maintaining data pipelines using AWS services, implementing ETL/ELT processes with PySpark and Airflow, and ensuring data quality and security.
PwC fosters a vibrant community of solvers focused on trust, innovation, and creating distinctive outcomes, offering rewards, wellbeing support, and inclusive benefits.
Matching Summary
PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients.
Skills & Requirements
Must-have
AWS Glue, Lambda, Redshift, S3
PySpark and Airflow ETL/ELT
Data quality, integrity, security
Optimize data workflows
Real-time and batch processing
Data architecture documentation
Nice-to-have
AI/ML, NLP, Generative AI
Azure, Google Cloud
Cross-functional collaboration
Agile Scalability
Analytical Thinking
Accepting Feedback
Key Requirements
3-5 Years experience
Advanced degree in Computer Science, AI, Data Science