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Data Engineer II - Lennar
Data Engineer
Mid‑level Data Engineer responsible for designing, building, and maintaining scalable data pipelines and warehouses using Python, SQL, Snowflake, Airflow, and AWS to enable data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest, transform, and load large‑scale business data from multiple sources.
- Build and optimize data models and warehouses in Snowflake to support analytics and reporting needs.
- Implement workflow orchestration using Apache Airflow, ensuring reliable scheduling, monitoring, and error handling.
- Collaborate with data analysts, scientists, and business stakeholders to understand requirements and deliver high‑quality data solutions.
- Apply best practices for data quality, governance, and security within the AWS ecosystem.
Requirements
- 2+ years of professional experience as a Data Engineer or in a similar role.
- Proficiency in Python for data manipulation and automation.
- Strong SQL skills and experience with relational databases and data warehousing (Snowflake preferred).
- Hands‑on experience with ETL tools and workflow orchestration (e.g., Apache Airflow).
- Familiarity with AWS services such as S3, Redshift, Lambda, and IAM.
Skills
pythonsqlsnowflakeaws