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Lead Data Engineer
LennarLead Data Engineer focusing on data engineering solutions for Lennar’s analytics platforms. Significant role in operationalizing enterprise data fabric with a commitment to quality and data integrity.
Tech Stack
Tools & technologiesAWSCloudEC2ETLPythonSDLCSQL
About the role
Key responsibilities & impact- Design, build, and operationalize data engineering solutions for Lennar’s data and analytics platforms and products
- Architect and implement ETL, ELT and streaming data ingestion processes across multiple sources
- Improve data ingestion architecture focusing on data quality, maintainability, and extensibility
- Define and Implement standards for analytics team, including code modularization, versioning, CI/CD workflows, and code reviews
- Work collaboratively with business users and stakeholders to gather solution requirements
Requirements
What you’ll need- At least 8+ years of expertise in Data Architecture design
- Proficient in Data modeling & Data warehousing concepts
- Strong knowledge of Data transformations and standardizations
- Experienced in ETL processes & strategies
- Familiarity with Monitoring and error handling
- Understanding of SDLC & workflow best practices
- Code Reviews and QA/Testing methodologies
- Minimum 3+ years of strong experience with AWS platforms (S3, EC2, EMR, EKS, Glue, Lambda, Cloudwatch)
- Knowledge of Snowflake Data Cloud Account Administration
- Proficient in SQL and Python
Benefits
Comp & perks- Robust health insurance plans (Medical, Dental, and Vision coverage)
- 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- Significant Home Purchase Discounts
- Everyone’s Included Day
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Architecture designData modelingData warehousingData transformationsETL processesSQLPythonCI/CD workflowsCode ReviewsQA/Testing methodologies
Soft Skills
CollaborationCommunicationStakeholder engagementRequirements gathering