Senior Software Engineer

Company Overview

Job Overview

The GBSG Data Engineer team at Intuit collaborates with other engineering/product/analyst teams across tech sites to collectively accomplish data needs. We constantly enrich our data layer to effectively deal with the next generation of products which are a result of Intuit's big bold bets. We design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs. We serve the data insights at depth to various teams at Intuit - like business analysts, data analysts, data science and business stakeholders to take strategic decisions, train DS models, perform health checks etc in order to grow and support Intuit’s business.

Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.

Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.

Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at:careers.intuit.com. EOE AA M/F/Vet/Disability

Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Responsibilities

• Strong understanding of data engineering and dimensional design fundamentals, good at SQL, integration (ETL), front-end analysis / data visualization, and learning new technologies quickly.
• Hands on with python, pyspak ,spark SQL optimization.
• Good understanding of data warehouse schema design and granularity of the data.
• Conceptual understanding of Machine Learning / LLM / GenAI Usage.
• Good understanding of data federation techniques and aggregation of data at scale from multiple source systems.
• Designing and developing ETL pipelines across multiple platforms and tools including Spark, Hadoop and AWS Data Services.
• Gathering functional requirements, developing technical specifications, and project & test planning.
• Work with business users to develop and refine analytical requirements for quantitative data (view-through, clickstream, acquisition, product usage, transactions), qualitative data (survey, market research) and unstructured data (blog, social network).
• Designing and developing schema definitions and supporting data warehouse/mart to enable integration of disparate data sources from within Intuit and outside, aggregate it and make it available for analysis.
• Support large data volumes and accommodate flexible provisioning of new sources.
• As a key member of the team drive adoption of new technologies, tools, and process improvements to build world class analytical capabilities for web analytics, optimization, experimentation and personalization.
• Resolve defects/bugs during QA testing, pre-production, production, and post-release patches.
• Work cross-functionally with various Intuit teams: Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers.
• Contribute to the design and architecture of projects across the data landscape.
• Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
• Helps to align to overall strategies and reconcile competing priorities across organizations.

Qualifications

• BS/MS in computer science or equivalent work experience.
• Experience in developing DB schemas, creating ETLs pipelines with Spark and familiar with MPP/Hadoop systems.
• Must have mastery of data warehousing technologies including data modeling, ETL and reporting.
• Ideal candidate to have 4+ years of experience in end-to-end data warehouse implementations and at least 2 projects with 4TB+ data volume.
• Good understanding of Data ware House methodologies.
• Hands-on experience in any of the programming languages (Shell scripting, Python, Java, etc).
• Must have been through several full life cycle Data Warehousing implementations and involved in scalability and performance related design aspects in Database and ETL.
• Solid communication skills: Demonstrated ability to explain complex technical issues related to technical and non-technical audiences.
• Demonstrated understanding of the Software design and architecture process.
• Experience with unit testing and data quality automation checks
• Should be results oriented, self-motivated, accountable and work under minimal supervision.
• Excellent written, oral communication and presentation Skills.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: