Senior Data Engineer

Summary

Join Tinybeans, a leading private photo-sharing app, as a Senior Data Engineer! This maternity cover role is crucial to our ambitious growth plans. You will be responsible for making data accessible and digestible across the company, transforming raw data, overseeing data pipelines, and ensuring data quality. You'll work remotely from Australia with flexible hours, collaborating with teams across Australia, North America, and Vietnam. This role requires expertise in data engineering, SQL, Snowflake, DBT, and Python. Tinybeans offers competitive compensation, stock options, a work-from-anywhere policy, and a $600 WFH stipend.

Requirements

• 6 +years of proven working experience as a Data engineer
• Expert-level SQL skills
• Experience in working with Snowflake or similar Data Warehousing tools
• Experience in working with DBT and Fivetran
• Experience in working with Python or similar

Responsibilities

• Transform raw data into consumable formats for analytics usage
• Take over our DBT set up to transform and optimize our analytics pipeline
• Develop testing scripts to ensure data accuracy at ingestion and throughout the data transformation
• Oversee existing data pipelines and implement new ones as needed utilising existing tools (Fivetran) or through custom pipeline designs, to ingest data into the data warehouse or perform reverse ETL to other operational systems
• Work closely with our backend and software development team to apply best data modeling techniques in our transactional database. (AWS)
• Identify, assess, fix, document, consult and communicate quality issues in the way data is collected, stored, processed, or used
• Ensure the data platform infrastructure is efficiently maintained, including maintaining access controls, and monitoring storage, computing and costs. (Snowflake, dbt self hosted)
• Maintain comprehensive and easily-understood documentation on our data
• Keep up with the latest data-management technologies to continuously evaluate paid or open-source tools that will improve the efficiency of our data platform and data processes
• Partner with engineering to maintain sustainable, long-term data integrity and accuracy
• Build efficient, automated, and easy-to-understand dashboards that provide quick and accessible insights
• Maintain and always improve DBT modeling internal best practices
• Analyze data to find opportunities to improve user experience and identify critical problems
• Respond in a timely manner to requests and inquiries. Collaborate with the direct manager on priorities and unplanned work
• Champion and embody the Tinybeans culture, mission, and values

Preferred Qualifications

• Experience or interest in setting-up Infrastructure using AWS, IaC, or Containerization platforms like Terraform, Docker, Kubernetes
• Experience working in startups or B2C subscription businesses is highly desirable
• Experience in Data Governance, Master Data Management, Data Quality implementations/tools, or Data Standardization will be a plus

Benefits

• Work From Anywhere- Offer you a remote work schedule but give loads of opportunities to connect with the team virtually, and sometimes, in-person
• Welcome you to be part of a publicly traded company with a global reach
• Offer you competitive compensation + yearly stock options
• $600 WFH Cell & Internet Stipend