Job Description
About Us:
Pacvue is the leading software suite for eCommerce advertising, sales, and intelligence. We help some of the world’s largest brands grow their business on Amazon, Walmart, Instacart, and other marketplaces and work with sellers and agencies of all sizes to help them compete in the constantly changing world of online retail. Our mission is to empower teams to win in the future of eCommerce, and we do it by building first-to-market technology, solving complex problems with our customers, and bringing expertise, collaboration, and innovation to our work every single day.
Why work at Pacvue?
- Be on the cutting edge - Pacvue is transforming the way brands and sellers win online. Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations.
- Have fun – we have an energetic and passionate team with a joint mission to win and help our brands and sellers succeed.
- Learn – from the best! Our team is full of talented people who want to help you learn, grow – providing you with mentorship, the industry’s best practices and thought leadership.
- Grow fast – the eCommerce industry has grown fast in the past 2-3 years. Pacvue has grown even faster than most high-tech companies in the market.
About the role:
We are seeking a motivated and detail-oriented Data Engineer to join our team and support analytics initiatives across the business. The data engineer will play a key role in supporting data pipeline development and maintenance frequently interacting with engineering teams in China. The ideal candidate will have strong ETL skills and data warehouse skills and SQL skills, a passion for problem-solving and is a consummate team player.
Responsibilities:
- Partner with leadership, engineers, program managers and data scientists to understand data needs
- Apply proven expertise and build high-performance scalable data warehouses
- Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
- Securely source external data from numerous partners
- Intelligently design data models for optimal storage and retrieval
- Deploy inclusive data quality checks to ensure high quality of data
- Optimize existing pipelines and maintain of all domain-related data pipelines
- Own the end-to-end data engineering component of the solution
- Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
Skills & Qualifications:
- 5+ years of total experience.
- Fluent Mandarin speaker (Must have)
- Experience interacting with China based engineering teams
- 5+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- 2+ years of experience working with modern data transformation tools like DBT.
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
- Experience integrating and orchestrating data workflows with various modern data tools and systems.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience working with a data warehouse such as Snowflake.
- AWS experience is a bonus.
- Experience with a data workflow orchestrator tool such as Airflow, DBT Cloud, AWS step functions
- Experience with a programming language such as Python.
- Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Preferably based on the US west coast
Benefits:
- Unlimited Paid Time Off
- Paid Holidays and Floating Holidays
- Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance
- 401k with Employer Match
- Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization
- Paid Parental Leave
Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Date Posted
12/10/2024
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