Key skills
PythonSQLMLflowETLELTData WarehousingSnowflakeBigQueryRedshiftAirflowdbtFivetranAWSAzureGCPKubernetesDockerSageMakerSDLCCI/CD
About this role
ezCater is the #1 food tech platform for workplaces in the US, providing scalable solutions for managing food needs. They are seeking a Senior Data Engineer to tackle complex data challenges, drive system architecture best practices, and collaborate with stakeholders to enhance data quality and performance.
Responsibilities:
- Write and ship a lot of code
- Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs
- Drive architectural decisions and thoughtfully balance trade-offs in system design
- Lead cross-functional data initiatives
- Champion high standards in data quality, security, and discoverability
- Translate complex technical challenges into clear solutions
- Design and develop high-performance data pipelines. Adhering to SDLC, including CI/CD and best practices
- Identify and drive opportunities to optimize and/or scale existing parts of our stack
- Utilize tooling and automation to improve developer efficiency
- Monitor data systems to ensure quality and availability while seeking to drive down costs
- Contribute to the team processes and community
- Mentor other Data Engineers
- Be part of our innovation and transformation story
Requirements:
- Strong experience with data warehousing, data lakes, ELT process, and enterprise data platforms such as Snowflake, Redshift & BigQuery
- Experience with building performant data pipelines across disparate systems
- Experience with cloud platforms such as AWS, GCP & Azure
- Mastery in SQL and experience in Python
- Ability to work independently and collaboratively
- Willingness and ability to be part of an on-call rotation, occasionally working non-business hours to address critical system alerts and maintain service uptime
- An open mind and willingness to be flexible
- Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable
- A sharp mind, a soft heart and a large funny bone
- Experience with marketing data
- Experience with the stack including Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations