Senior Data Engineer
Employment Information
Job Description
Senior Data Engineer responsible for building and maintaining data infrastructure at Shopmonkey. Ensuring data flow efficiency and mentoring junior engineers in cloud and orchestration tools.
Responsibilities:
- Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability.
- Drive the decision-making process for the selection and implementation of data tools and technologies.
- Design and refine data pipelines to ensure smooth and efficient data flow.
- Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges.
- Partner with cross-functional teams to develop new data requirements and refine existing processes.
- Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
- Contribute to ongoing platform improvements, ensuring a culture of continuous innovation.
- Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level.
- Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.
Requirements:
- 5+ years of industry 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 dataware houses 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
- Group volunteer efforts
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