Company:
Intuit
Location: Mountain View
Closing Date: 26/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview
Come join the Customer Success Data Engineering team in Mountain View as a Software Engineer - 2.
We are leveraging big data technologies to gain new insights into our QuickBooks/Turbo Tax customer experience. Some of the technologies leveraged by our team include: Hadoop, Spark, and AWS Data Services. We foster an open team environment where we value direct interactions and working code above working in a cave.
What you'll bring
- Bachelors/Masters in computer science or equivalent work experience.
- Experience in developing DB schemas, creating ETLs, and familiar with MPP/Hadoop systems.
- Must have mastery of data warehousing technologies including data modeling, ETL and reporting. Ideal candidate to have 3+ years of experience in end-to-end data warehouse implementations and at least 2 projects with 4TB+ data volume.
- Extensive experience with databases (Vertica, Netezza or Oracle and AWS data services tech).
- Good knowledge of Operating Systems (Unix or Linux).
- Good understanding of Data Warehouse 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.
- Knowledge of Big Data ecosystem like Hadoop M/R, Pig and Hive is a strong plus.
- Conceptual understanding of Machine Learning is a plus.
- Good understanding of any reporting tools such as Tableau, Pentaho or Jasper is a big plus.
- Experience in design, development and deployment of one or more tools - ETL (Informatica, OWB, ODI), reporting (Business Objects, QlikView, Tableau).
How you will lead
- Strong understanding of data engineering and dimensional design fundamentals, good at SQL, integration (ETL), front-end analysis/data visualization, learns new technologies quickly.
- Good understanding of data warehouse schema design and granularity of the data.
- 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 support 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 project across the data landscape.
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
- Helps to align to overall strategies and reconcile competing priorities across organization.
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