Infrastructure Engineer, Houzz

• Proficiency in a common programming or scripting language (Python, Bash, Java, etc.)
• Minimum of 3 years industry experience building large scale reliable data backends
• Experience with big data technology and workflow management framework like Apache Flink, Airflow, Apache Spark, Hive, Kafka, Kinesis, etc
• Experience in data architecture and/or data warehouse design patterns
• Excellent communication, interpersonal and cross-functional skills
• A minimum of Bachelor’s degree in Computer Science or a related field

Desirable

• The right candidate can architect, implement, and be an end-to-end owner across our suite of tools that includes data pipelines, event streaming, and data warehouse/data lake
• Build scalable and reliable data infrastructure that processes petabytes of data
• Integrate with big data technologies and workflow management framework such as EMR, Hadoop, Spark, Trino, and Airflow
• Automate the process of infra operation such as EMR provisioning and autoscaling
• Build tools and framework for data analysis
• Create monitoring and alerting processes for the data infrastructure team
• Own service operation in production, including participating in on call rotation
• Working in a small, collaborative team with data engineers, data scientists, designers and product managers build an amazing data experience
• Promote best practices and improve the quality of the internal data products