Lead Data Engineer

Overview

Lead engineer designing, building, and operating data platforms and pipelines.

Key Responsibilities

• data ingestion
• dbt macros
• dbt cloud
• dbt models
• data engineering
• best practices

Tasks

-Architect and implement ETL, ELT and streaming data ingestion data delivery processes across multiple sources. -Creating and leveraging dbt macros -Comply with and implement company policies and procedures. -Support process improvement on the team to enable rapid development of data products. -Improve data ingestion architecture, emphasizing data quality, maintainability, and extensibility. -Managing dbt cloud environment -Wrangle and integrate data from disparate systems to allow data analysts and data scientists to leverage end-to-end data and information. -Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team. -Creating and managing dbt models -Design, build, and operationalize data engineering solutions for Lennar’s data and analytics platforms and products. -Define and Implement standards and best practices for data analytics team, including code modularization, versioning, testing, automation of CI/CD workflows, code reviews etc. -Managing multi-repository dbt projects -Gain an understanding of core business processes and align data development with business strategy.

Requirements

• aws certification
• snowflake
• sql
• python
• airflow
• version control

What You Bring

-Ability and willingness to learn about the business, its strategy, objectives, and core business processes. -Version control & branching strategies (Github a plus) -Orchestration & scheduling tools (Prefect, Airflow is a plus) -Expertise (At least 8+, prefers 12+ years) in: -Familiarity (At least 1+ years of experience) with: -Strong experience (At least 3+, prefers 6+ years) with the following technologies and platforms: -Snowflake feature implementation: Data Sharing, Time Travel, and Zero-copy cloning -AWS certification is big plus -Travel up to 10% of the time to Divisions within the Lennar family. -Strong work ethic. -Experience in data modeling, cloud data lake, cloud data warehouse -SDLC & workflow best practices -Data governance, security, and compliance concepts -AWS platform: S3, EC2, EMR, EKS, Glue, Lambda, AppFlow, Cloudwatch etc. -Proficient in languages: SQL, Python -Incremental and CDC ingestion methods -Experience working with business users to understand how to optimally deliver insights within their operational workflows & decision-making processes. -Instrument data analytics platforms with robust metrics and monitoring. -Qlik Replicate -Ability and willingness to quickly learn new technologies. -Demonstrated some experience in all aspects of development including, but not limited to, gathering requirements, development of technical components related to process scope and supporting testing and post implementation support. -Ability to work and partner with users and stakeholders to gather solution requirements. -Ability to work collaboratively and productively with other team members to achieve Lennar’s objectives. -Interact well with co-workers.

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About Lennar

-Known for its focus on affordability and quality. -Builds homes in a wide range of communities from first-time homebuyers to luxury estates. -Integrates technology into homes, offering smart home solutions for modern living. -Notable projects include large-scale suburban communities and mixed-use developments, focusing on sustainability and convenience. -History includes several notable acquisitions, expanding its capacity to build homes nationwide. -Continues to innovate with a focus on reducing construction costs and increasing home energy efficiency. -Specializes in land development, mortgage services, and title insurance, creating a comprehensive approach to homebuilding.

Sector Specialisms