In_senior Associate_spark Scala_data And Analytics_advisory_bangalore
PwC
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, reusable, and efficient data transformation logic.
PwC offers a vibrant community, purpose-led work, and rewards contributions with support for wellbeing, inclusive benefits, and flexibility programs.
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
GitHub Actions CI/CD pipelines
Maven or SBT dependency management
Spark job debugging and optimization
Data ingestion across diverse sources
Nice-to-have
Advanced functional programming techniques
Cross-functional team collaboration
Containerization with Docker
Kubernetes deployment and scaling
Kafka / streaming pipelines
Zero tolerance for discrimination and harassment
Key Requirements
4-8 years of experience
B.E, B.Tech, M.E, MCA, M.Tech education
Master of Engineering, Bachelor of Engineering, MBA preferred