In_senior Associate_spark Scala_data And Analytics_advisory_bangalore
PwC
Bangalore, India
Spark scala data processing pipelines
Hive data models and etl
Oozie / airflow workflow scheduling
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals
Job Summary
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals.
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 of solvers, purpose-led and values-driven work, powered by technology in an environment that drives innovation, with rewards, wellbeing support, and inclusive benefits.
Matching Summary
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals.
Skills & Requirements
Must-have
Spark Scala data processing pipelines
Hive data models and ETL
Oozie / Airflow workflow scheduling
CI/CD pipelines GitHub Actions
Maven or SBT dependency management
Spark job debugging and optimization
Data ingestion across diverse sources
Nice-to-have
Docker containerization
Kubernetes deployment and scaling
Kafka streaming pipelines
Cross-functional collaboration
Leveraging data for insights
Optimizing business performance
Key Requirements
4-8 years of experience
B.E, B.Tech, M.E, MCA, M.Tech degrees
Master of Engineering, Bachelor of Engineering, MBA preferred