Senior Data Engineer at Shopmonkey building and maintaining data infrastructure. Driving strategic decisions for tools and processes while ensuring data quality across platforms.
Responsibilities
Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability.
Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies.
Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow.
Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges.
Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes.
Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation.
Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies.
Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level.
Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.
Requirements
5+ years of data engineering experience and Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree*
Proven experience with Kubernetes and Cloud infrastructure (GCP preferred)
Strong proficiency in Python and SQL for data processing and automation.
Expertise in orchestration tools such as Airflow, Docker, etc..
Understanding of performance optimization and cost-effectiveness in data warehouses like Snowflake, ClickHouse, etc.
Ability to work effectively in a collaborative, cross-functional environment.
Strong problem-solving skills with a proactive and solution-oriented mindset.
Experience with additional orchestration tools like Dogster or Meltano.
Knowledge of DBT, particularly in setting up new projects.
Demonstrated ability to build and maintain complex data pipelines and data flows.
Benefits
Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
Short term and long term disability
Employee assistance program
Reimbursement for a personal health and wellness membership
Generous parental leave
401(k) available upon hire
11 paid holidays
Flexible time off - take the time off you need!
Matching donations for approved charitable organizations
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