Job Requirements

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.

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).

Design and develop 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.

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.





Must have mastery of data warehousing technologies including data modeling, ETL and reporting. Ideal candidate to have 6+ 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).

Valuable knowledge of Operating Systems (Unix or Linux).

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.

Knowledge of Big Data eco system like Hadoop M/R, Pig and Hive is a strong plus.

Conceptual understanding of Machine Learning / LLM / GenAI Usage is a plus.

Work Experience

7-10Years

📌 Data Engineer (Bengaluru)
🏢 Virtusa
📍 Bengaluru