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Senior Data Engineer - Beazer Homes
Data Engineer
Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and warehouses using Python, SQL, Snowflake, AWS, and Airflow to support analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest and transform data from multiple source systems.
- Build and optimize data models and warehouses in Snowflake to enable self‑service analytics.
- Implement workflow orchestration and scheduling using Apache Airflow.
- Collaborate with data analysts, scientists, and business stakeholders to understand data requirements and deliver reliable data solutions.
- Monitor pipeline performance, troubleshoot issues, and ensure data quality and security in an AWS environment.
Requirements
- 5+ years of hands‑on experience in data engineering or related roles.
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Experience with cloud platforms, preferably AWS, and data warehousing solutions such as Snowflake.
- Proven ability to design, implement, and maintain ETL processes and workflow orchestration tools like Airflow.
- Solid understanding of data modeling, data governance, and best practices for scalable data architectures.
Skills
pythonsqlsnowflakeawsairflow