Software Engineer 2

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Data Engineering Team as a Software Engineer II.

We are leveraging big data technologies to gain new insights into our customer experiences; building data frameworks, ingestion pipelines and tools. The technologies we are leveraging include Amazon Web Services & Google Cloud Platform big data services.

Participate in the entire product lifecycle for software products and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices. Work with Industry Experts; Senior, Staff and

Principle Engineers, utilize specialized knowledge to develop, and maintain Intuit's software.

Primary job responsibilities are to develop and support batch and streaming data pipelines using Python, Scala, Java, Spark and SQL to enable AI, machine learning and analytics in a cloud-hosted environment.

Responsibilities

• 70-85% hands-on development in all phases of the software life cycle.
• Rapidly fix bugs and solve problems
• Conduct design and code reviews
• Defect remediation
• Technical design specification
• Automated unit tests
• Estimates and sequence of individual activities as inputs to project plans
• Analyzes and synthesizes a variety of inputs to create software and services.
• Identify dependencies as inputs to project plans
• Collaborates effectively with peer engineers and architects to solve complex problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience.
• Influences and communicates effectively with non-technical audiences including senior product and business management.
• Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Scala, Python and SQL

Qualifications

• BS or MS in Computer Science or related field; equivalent experience will be considered
• 3+ years of core development experience
• Skilled in developing Software for Java (Spring & Springboot), Scala for spark streaming & spark applications, or other JVM based languages.
• Working Knowledge of XML, JSON, YML, SQL, very strong Python and Linux
• Knowledgeable with tools and frameworks Docker, Spark, Scala, Jupiter 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 working in Agile development teams; working knowledge of Agile (Scrum) development methodologies
• Experience with Amazon web services: EC2, S3, and EMR (Elastic Map Reduce) or equivalent cloud computing approaches
• Strong expertise in Data Warehousing and analytic architecture
• Experience working with large data volumes
• Experience with building stream-processing applications using Flink, Spark Streaming, Kinesis, etc. is a plus
• Additional exposure to unit testing frameworks
• Ability to research and integrate 3rd party solutions
• Evolving a mature code base into new technologies
• Experience creating and consuming SOAP based or JSON/REST web services and communicating with systems.