סקירה כללית
^^משרה זו נלקחה מ INDEED^^
Overview At Intuit, we power prosperity around the world and invest in DATA AI and HI to create a done for you experience for our customers. We are looking for a highly skilled Data Engineer . to build and maintain robust, scalable data pipelines and data marts acting as the connective tissue for intelligence insights generation that serves executive stakeholders , internal Intuit customers and 3rd party The Fintech AI & Data group is looking for a staff Data Engineer to work closely with analysts, data scientists, and software developers and strengthen Fintech by building data capabilities and AI transformation. Responsibilities Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software. Design, build, and maintain scalable, reliable batch and real time data pipelines, data marts and warehouse supporting executive dashboards, operational analytics, and internal customer use cases Ensure high data quality, observability, reliability, and governance across all data assets Optimize data models for performance, cost
• efficiency, and scalability Develop data
• centric software using leading
• edge big data technologies. Build data capabilities that enable automated agentic insights and decision intelligence Develop reusable data services and APIs that power AI
• driven workflows Evolve our data architecture into an AI
• native data layer designed to power LLMs, AI agents, and intelligent applications Collaborate with analytics, product, and AI teams to translate business needs into scalable data solutions Influence the software architecture and working procedures for building data and analytics Work bBe the go
• to person for anything and everything regarding understanding the data
• exploration, pipelines, analytics, etc. and work both independently and as part of a team How you’ll succeed Have an impact on satisfying customers and reducing financial fraud Help build the team by hiring 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 🙂 Qualifications Bachelor’s degree in Information Systems, Computer Science or similar 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 in designing, building and maintaining highly scalable, robust & fault
• tolerant complex data processing pipelines from the ground up (ETL, DB schemas) Experience with stream processing or near real
• time data ingestion Experience working in cloud environment, preferably AWS (EC2, S3 EMR elastic map) Excellent knowledge of database / dimensional modeling / data integration tools Experience writing scripts with languages like Python, and shell scripts in a Linux environment Can
• do attitude, hands
• on approach, passionate about data Preferred : Some knowledge of Data Science/Machine Learning Knowledge/Experience with Scala, Java Knowledge of data visualization tools like Tableau or Qlik Sense Some knowledge of graph databases Some experience in Fintech industry, Cyber Security Working with AI tools and leveraging AI into product development Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.
דרישות המשרה
Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software. Design, build, and maintain scalable, reliable batch and real time data pipelines, data marts and warehouse supporting executive dashboards, operational analytics, and internal customer use cases Ensure high data quality, observability, reliability, a
