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Data Engineer 2

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.
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer 2

Intuit is seeking a Data Engineer 2 to join their GBSG Data Engineering team at IDC. This role focuses on leveraging Big Data Technologies to gain new insights into QuickBooks/IES customer experiences. The team utilizes technologies including Hadoop, Spark, and AWS Data Services in an open and collaborative environment where direct interactions are highly valued.

The role involves designing and developing ETL pipelines, working with data warehouse schema design, and implementing data federation techniques at scale. You'll work cross-functionally with various teams including Product Management, Data Scientists, and other Engineers to build world-class analytical capabilities.

Key responsibilities include:

  • Developing complex data models and pipelines using Spark, Hadoop, and AWS services
  • Working with business users to develop analytical requirements for various data types
  • Supporting large data volumes and flexible source provisioning
  • Driving adoption of new technologies and process improvements
  • Contributing to project architecture and design across the data landscape

Requirements include:

  • BS/MS in computer science or equivalent experience
  • 2+ years of Spark and Hive experience
  • Strong understanding of data engineering fundamentals
  • Experience with cloud service providers (AWS, Azure, GCP)
  • Solid programming skills in Python, Java, or similar languages
  • Experience with Agile methodologies

The position offers growth opportunities within Intuit's engineering community, with both vertical and lateral career paths available. You'll be part of a collaborative team environment that values transparency, teamwork, and delivering impactful results for Intuit's 100 million+ customers.

Last updated a day ago

Responsibilities For Data Engineer 2

  • Design and develop ETL pipelines across multiple platforms including Spark, Hadoop and AWS Data Services
  • Work with business users to develop analytical requirements for quantitative and qualitative data
  • Design and develop schema definitions for data warehouse/mart integration
  • Support large data volumes and flexible provisioning of new sources
  • Drive adoption of new technologies and process improvements
  • Work cross-functionally with various Intuit teams
  • Contribute to project architecture and design
  • Resolve defects/bugs during various testing phases

Requirements For Data Engineer 2

Python
Java
  • BS/MS in computer science or equivalent work experience
  • 2+ years of experience in developing data pipelines using Spark and Hive
  • Experience in developing data pipelines using Cloud service providers (AWS, Azure, GCP)
  • Experience in developing complex data models/dimension models on datalake
  • Good knowledge of Operating Systems (Unix or Linux)
  • Hands on experience in programming languages (Shell scripting, Python, Java)
  • Solid communication skills
  • Experience with unit testing and data quality automation checks

Benefits For Data Engineer 2

Medical Insurance
401k
  • Comprehensive benefits package including medical insurance and 401k

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