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 us in using big data technology to support small businesses and consumers around the world.
Intuit is a global market-leader in financial software solutions for small businesses and consumers, with products used by tens of millions of customers. Intuits Israel site is growing rapidly, focused on trust, data, and deep insight. The companys success rests to a large extent on the quality of its data; the ability to curate, combine, protect, and analyze this data. For example extensive data allows us to identify and thwart fraudsters in real-time, and analyze stages of invoice to payment processing.
The group is looking to expand its capabilities in the Data Engineering realm to work closely with analysts, data scientists, and software developers.
Responsibilities
Gather data needs from internal customers like product managers and fraud analysts, and translate those requirements into a working database and analytic software.
Develop data-centric software using leading-edge big data technologies. These include database design, batch, and real-time ETL pipelines.
Develop integration with Intuit data capabilities supporting real-time API access to our data
Collaborate with colleagues both locally and in remote locations
Influence the software architecture and working procedures for building data and analytics
Participate in design and code reviews
Manage your own time, and work both independently and as part of a team
Be the go-to person for anything and everything regarding understanding the data, including exploration, pipelines, and analytics
Requirements: Have an impact on satisfying customers and reducing financial fraud
Help build the team by helping to hire and train the best talent
Contribute to experiments and research on how to enhance our capabilities
Learn new technologies and methodologies
Collaborate with other data engineers, analysts, data scientists, and developers
Be proactive with a self-starter attitude
Be a good listener, while also having strong opinions on what is right
Be fun to be around:)
What youll need
Bachelors degree in Information Systems, Industrial Engineering or Computer Science, or equivalent experience
Extensive experience dealing directly with internal customers regarding their data needs
Excellent knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino
Experience working in cloud environment, preferably AWS
Excellent knowledge of databases / dimensional modeling / data integration tools
Experience writing scripts with languages like Python, and shell scripts in a Linux environment
Focus on engineering and operational excellence
Can-do attitude, hands-on approach, passionate about data, ability to thrive in a constantly changing environment
Bonus Points:
Hands-on experience with and insatiable curiosity about AI
Knowledge/Experience with Scala, Java
Knowledge of data visualization tools like Tableau or Qlik Sense
Experience with stream processing or near real-time data ingestion
Some knowledge of graph databases
Some experience in Fintech industry, Cyber Security
Exceptional sense of humor
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