Senior Software Engineer ( Data )

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Intuit

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Scala Flink Spark Java Databricks AWS

Job Description

Overview

Come join the Intuit as a "Senior Software Engineer - Data". Our team leads a new initiative at Intuit, working on our transformation into an AI-driven expert platform. At the heart of this transformation is the creation of a secure, modern, blazing fast and finely curated map of the world's financial information, provided to Intuit with trust and care by tens of millions of people and businesses worldwide. Our team is building the products, workflows and methodologies that will be used to profoundly change the way we all manage our financial lives

What you'll bring

  • 5+ years of software development experience.
  • Experience working with Self-Serve Data Platforms.
  • Extensive experience working with programming languages ( Java , Scala , Python )
  • Proficient with data processing technologies ( Spark , Flink etc)
  • Familiarization with AWS infrastructure and cloud-native technologies.
  • Willingness to take initiative and unblock yourself to get things done.
  • Ability to deliver work incrementally to get feedback and iterate over solutions.
  • Have a passion for working on User facing features and workflows that are highly reliable, maintainable, scalable and secure
  • You are easy to work with: you communicate well, take feedback in a positive way and are OK not always doing the most glamorous tasks.
  • Experience building/contributing to data processing platform solutions
  • Proven track record of innovating and influencing to provide novel and effective solutions to difficult software engineering problems
  • Demonstrated entrepreneurial perspective in ideation and implementation.
  • Experience in databricks is a plus.

How you will lead

  • Drive end to end design and implementation of Data platform capabilities
  • Design & Develop big data solutions in both real-time and batch
  • Develop data processing frameworks to simplify pipeline development experience for data engineers
  • Drive efforts to define and implement software development practices to deliver highest quality software products. (unit testing , integration testing etc)
  • Mentoring/Empowering junior engineers, new team members, and applying technical expertise to challenging programming and design problems
  • Roughly 70-85% hands-on coding

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