Lead Data Engineer

Overview

The primary mission of the Data Quality Engineer role is to help our business evolve into an AI-first, insights-driven organization. This position sits in our Enterprise Data and Analytics team, which aims to drive improved business outcomes using insights gleaned from data and analytics, infusing them into Lennar’s corporate fabric.

The Data Quality Engineer provides data quality testing and validation leadership to our data platform engineering team. This is done by performing quality testing and validation during the implementation of our next generation data and analytics platforms and products using DataOps and engineering best practices. In addition, the incumbent focuses on empowering and enabling our business users through self-service and automation. The Data Quality Engineer is a key role in operationalizing Lennar’s enterprise data fabric.

Responsibilities

• Performs quality assurance & testing on the platform team’s work products across all tiers (Development, QA, UAT, and Production) as applicable.
• Test & validate Data Engineering solutions for Lennar’s data and analytics platforms and products before any release to the next tier.
• Look for automation techniques to streamline data quality validation.
• Instrument platforms with robust quality metrics and monitoring.
• Support quality process improvements on the team to enable rapid development of data products.
• Gain an understanding of core business processes and align quality data development with business strategy.

Qualifications
Education and Experience Requirements:

Quality Engineering Requirements

• 2+ years of experience as Data Quality Engineer.
• 2+ years of experience performing data quality analysis & validation.
• 2+ years of experience writing test plans, test cases, and test scripts.
• 1+ years of experience validating solutions built on REST APIs.
• 1+ years of experience validating solutions with Snowflake.
• 1+ years of experience validating data pipelines.
• Good conceptual understanding of data analytics architectural approaches and data models (Data Vault experience is a plus).
• Strong adherence to core software testing principles (code modularization, versioning, git, testing, Agile etc.).
• Nice to haves:
• Experience performing validation on data ingestion solutions such as FiveTran and / or Qlik.
• Experience performing validation on Prefect / workflow tool.
• Experience performing validation on dbt.
• Experience performing validation on Hasura & GraphQL.
• Experience performing validation on database replication tools.

Other Requirements

• Ability to work collaboratively and productively with others to accomplish Lennar’s objectives.
• Thirst to help transform Lennar into an insights-driven organization.
• Ability to work and partner with users and stakeholders to gather solution requirements and write test driven development cases.
• Experience working with business users to understand how to optimally deliver insights within their operational workflows & decision-making processes.
• Ability and willingness to quickly learn new technologies.
• Strong adherence to core software testing principles (code modularization, versioning, git, testing, Agile etc.).
• Ability and willingness to learn about the business, its strategy, objectives, and core business processes.

 Physical Requirements: 

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment. Finger dexterity is necessary. Occasional travel (up to 10%) is required.

 

Additional Requirements:

 

• Interact well with co-workers.
• May be required to cross train for position(s) within the team organizational structure from time to time, as required by the Leadership
• Comply with and implement company policies and procedures.
• Accept constructive criticism.
• Strong work ethic. 
• Team player. 

 

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

Type
Regular Full-Time