Intuit is looking to leverage big data technologies to gain new insights into customer experiences by building data frameworks, ingestion pipelines, and tools.
Requirements
Proficiency in developing Software for Java (Spring & Springboot), Scala for spark streaming & spark applications, or other JVM based languages.
Working Knowledge of SQL, XML, JSON, YML, very strong Python and Linux
Knowledgeable with tools and frameworks Docker, Spark, Scala, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker
Advanced experience with scripting language – Python or Shell is a must have
Strong knowledge of software development methodologies and practices
Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, and EMR (Elastic Map Reduce) or equivalent cloud computing approaches
Strong expertise in Data Warehousing and analytic architecture
Responsibilities
70-85% hands-on development in all phases of the software life cycle.
Rapidly fix bugs and solve problems
Code reviews and Defect remediation
Clean, transform and validate data for use in analytics and reporting
Monitor data quality and pipeline performance, troubleshoot and resolve data issues
Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark.
Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology
Other
Collaborates effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience.
Influences and communicates effectively
Experience with Agile Development, SRUM, and/or Extreme Programming methodologies
2+ years of core development experience
Experience working with large data volumes, data visualization
