Data Engineer SQL, Python

About Sellerwix
Sellerwix is a fast- growing Print- on- Demand (POD) technology company. We power fulfillment, integrations, and automation for high- volume POD sellers across global marketplaces. We’re on a mission to build a technology- first platform that enables sellers to scale smarter and faster.
Position Summary
As a Data Engineer at Sellerwix, you’ll play a key role in building and scaling the data backbone that powers our platform.
You will design and manage high- performance data pipelines, integrate data from multiple POD and marketplace sources, and ensure our business teams have accurate, real- time insights to make fast, data- driven decisions.
Job Description

Architect and optimize data warehouses (Redshift / BigQuery / Snowflake) to manage high- volume eCommerce data flows from listing → order → production → shipping → claims.
Build and maintain real- time data integrations with Sellerwix internal systems and external APIs.
Develop data models, marts, and transformations to support business domains like Revenue, Fulfillment, and Supplier Performance.
Continuously improve system scalability, automation, and data observability.
Implement data quality checks, validation logic, and alert systems to ensure reliability and trustworthiness of insights.
Design, build, and maintain automated data pipelines that extract and process data from marketplaces (Amazon, Etsy, TikTok Shop, etc.) and POD suppliers.
Collaborate with Data Analysts, Sales, Supply Chain, and Operations teams to define metrics and deliver BI dashboards (Power BI / Tableau / Looker / Superset).

Yêu cầu công việc

Requirements
Must- Have:

Hands- on experience managing data warehouses (Redshift / BigQuery / Snowflake).
Experience building dashboards or data models using Power BI / Tableau / Looker / Superset.
Proven experience with ETL/ELT workflows (Airflow, AWS Glue, or GCP Dataflow).
Familiarity with RESTful APIs and real- time data synchronization.
Strong understanding of data modeling and performance optimization.
2+ years of experience as a Data Engineer, preferably in eCommerce, SaaS, or POD domains.
Solid proficiency in SQL and Python (Pandas, NumPy, SQLAlchemy).

Nice- to- Have:

Understanding of the Print- on- Demand lifecycle (listing → production → shipping → claim/refund).
Interest in ML data preparation or predictive analytics.
Familiarity with dbt, Kafka, or Fivetran for modern data stack orchestration.
Experience with marketplace data structures (Amazon SP- API, TikTok Shop API, Etsy API).
Experience implementing data observability or anomaly detection systems.

Who We Look For

Able to communicate clearly across technical and business teams.
Thrive in a fast- paced, startup- like environment with evolving priorities.
Analytical and detail- oriented with a strong drive for data accuracy and automation.
Constant learner who keeps up with modern data tools and architecture trends.
Proactive in identifying inefficiencies and suggesting process or pipeline improvements.

Why you’d love to work with us

Weekly Happy Hours, annual company trips, and plenty of free drinks.
Friendly, non- hierarchical culture with open communication and high ownership.
12 annual leave days + 5 sick leave days.
Cash bonuses on holidays, birthdays, and company events.
PTI insurance is effective from day one of your labor contract.
Work with real- world, large- scale eCommerce data powering automation and insights for global sellers.
Competitive salary & bonuses with 13th- month pay and quarterly performance incentives.
Modern toolset: Airflow, BigQuery, dbt, Power BI, Grafana, etc.
Opportunity to build the data core of one of Asia’s fastest- growing POD tech platforms.
Dedicated training roadmap and a clear career growth path.
Insurance contributions are based on 90% of the gross salary.

The recruitment process would be short and sweet!

Quick offer decision and onboarding.
Up to 2 rounds of interviews (Technical + Culture Fit).

Cập nhật gần nhất lúc: 2025-10-27 06:35:02