Software Engineer 2

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 Principal Engineers, utilize specialized knowledge to develop and maintain Intuit’s software.

Primary job 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.
• Analyze and synthesize a variety of inputs to create software and services.
• Identify dependencies as inputs to project plans.
• Collaborate 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.
• Influence and communicate effectively with non-technical audiences including senior product and business management.
• Design and develop ETL jobs across multiple big data platforms and tools including S3, EMR, Scala, Python, and SQL.

Minimum requirements:

• 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, Jupyter 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.