In_senior Associate_spark Scala_data And Analytics_advisory_bangalore

263

Bangalore, India
Spark (scala) data processing pipelines
Hive-based data models and etl
Oozie / airflow workflow scheduling
Leverage data to drive insights and make informed business decisions using advanced analytics techniques

Job Summary

  • Leverage data to drive insights and make informed business decisions using advanced analytics techniques.
  • Design, develop, and optimize large-scale data processing pipelines using Spark (Scala) and implement robust data transformation logic.
  • At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Matching Summary

Leverage data to drive insights and make informed business decisions using advanced analytics techniques.

Skills & Requirements

Must-have

  • Spark (Scala) data processing pipelines
  • Hive-based data models and ETL
  • Oozie / Airflow workflow scheduling
  • CI/CD pipelines using GitHub Actions
  • Maven or SBT for dependencies
  • Spark job debugging and optimization
  • Data ingestion across diverse sources

Nice-to-have

  • Leveraging data for insights
  • Advanced functional programming techniques
  • Optimizing business performance
  • Cross-functional team collaboration
  • Containerization with Docker
  • Deployment and scaling with Kubernetes
  • Streaming pipelines with Kafka

Key Requirements

  • 4-8 years of experience
  • B.E, B.Tech, M.E, MCA, M.Tech
  • Master of Engineering, Bachelor of Engineering, MBA

Work Rights

Not specified

Tailored Resume

Cover Letter