In_senior Associate_spark Scala_data And Analytics_advisory_bangalore
PwC
Bangalore, India
Spark scala data processing pipelines
Data transformation logic
Hive-based data models and etl
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), implement robust data transformation logic, and develop Hive-based data models and ETL processes.
PwC offers a vibrant community of solvers, purpose-led and values-driven work, and an environment that drives innovation, rewarding contributions and supporting wellbeing with inclusive benefits and flexibility programs.
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
Data transformation logic
Hive-based data models and ETL
Oozie / Airflow workflow management
CI/CD pipelines using GitHub Actions
Maven or SBT project dependencies
Debug and optimize Spark jobs
Data ingestion workflows
Nice-to-have
Leveraging data for insights
Advanced analytics techniques
Strategic decision-making
Optimize business performance
Enhance competitive advantage
Cross-functional collaboration
Containerization with Docker
Deployment and scaling with Kubernetes
Key Requirements
4-8 years of experience
B.E, B.Tech, M.E, MCA, M.Tech
Master of Engineering, Bachelor of Engineering, MBA