Job Location: Bangalore
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Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Intuit is a leading software provider of business and financial management solutions for small and mid-sized businesses, consumers, financial institutions and accounting professionals. You probably know us by our flagship products, QuickBooks®, Quicken® and TurboTax®, but that’s just the start. Over 50 million users, seven million small businesses and 1,600 financial institutions depend on Intuit because we innovate at the crossroads of real customer problems and breakthrough technology. Join us and let your ingenious ideas find expression.
Technology leaders at Intuit think strategically and drive for results. They build high performing teams by putting the right people on the right job at the right time. They lead their teams to embrace new ideas that produce outstanding results for our customers. Leaders at Intuit inspire others thru action by creating a spirit of collaboration.
Come join the Intuit Data platform (IDP) team as a Sr Software Engineer. The IDP team owns the Intuit Analytics Platform which is the foundation of big data at Intuit and which enables real-time data ingestion, cataloging, analytics and machine learning on all of Intuit’s data. With Intuit’s customers growing rapidly year over year, the volume of data we handle is ever increasing and the excellent data engineering we do in IDP helps Intuit keep up with this data volume and leverage it for machine learning and data-driven product innovations.
What you’ll bring
BE/Btech/MS in Computer Science (or equivalent) with 3-4 years of relevant experience as a full stack developer with at least 2 years on the big data domain
Expert level experience with Java programming, RESTful web services and micro service architectures.
Develop big data and real-time analytics solutions using industry standard technologies.
Practical experience in developing applications using micro services that make big data available in real-time for in-product applications.
How you will lead
Design and build big data platform and Big Data solutions primarily based on open source technologies that is fault-tolerant & scalable.
Build solid & scalable architecture to address on the Normalization, lineage, Data governance, Ontology typical data catalog UCs
Design solutions that involve complex, multi-system integration, possibly across BUs or domains
Work with Analysts and Data Scientists to identify datasets needed for deep customer insights and for building operational propensity models.
Hands on contribution to biz logic using Hadoop echo system (Java MR, Hbase, Hive) and build framework(s) to support data pipelines on streaming applications
Work on technologies related to NoSQL, SQL and InMemory platform(s)
Conducts code reviews to ensure code quality, consistency and best practices adherence.
Conducts quick Proof of Concept (POCs)for feasibility studies and take it to the prod
Work with Data Catalog team and architects to catalog all the data sources if Intuit
Lead fast moving development teams using agile methodologies.
Lead by example, demonstrating best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
Design a dimension model appropriate for customer business use cases.
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