Junior Data Engineer Crossian

ABOUT THE ROLE
Crossian is a high-growth technology-driven e-commerce business. Behind our success is our people. As a start-up formed in 2020, we have created a fast-paced and dynamic environment, enabling our people to reach a cumulative average growth rate of over 400% in just under 3 years. Our mission now is to build direct-to-consumer brands and increase customer LTV.
As a Data Engineer, you are part of Technology Innovations Center of Excellence (CoE), supervised by the Engineering Manager & advised by the CTO. With an Agile mindset working a strong-Tech Startup environment culture (Silicon Valley style Tech-startup), you will check in with project teams daily, collecting information from other products to remain in sync with the entire eco-system.
We are creating a comprehensive Cross-border eCommerce Platform that features solutions for Storefront, Payment Gateway, Inventory, Catalog, Logistics, Marketing Insights, CRM... Here are some examples:
Develop a Storefront solution
Centralize payment gateways for managing transactions and after-payment business (such as refunds, chargebacks, claims, inquiries,..)
Integrate various 3rd services to operate a complete supply-chain system, including inventory, catalogs, logistics tracking, and more...
Convert raw data from marketing campaigns, transactions, user behavior, etc., into insights beneficial and significant for business operations.
Plus, numerous other opportunities await your input.
In addition to development tasks, collaboration with other Centers of Excellence (CoEs) at Crossian is crucial to comprehend issues within their specific sectors. Thus, from a technical standpoint, you will propose solutions to help them improve consistently every day.
WHAT YOU WILL DO
Participate in Requirements Analysis & Technical Specification in the Agile/Scrum development process.
Design, develop, and maintain scalable data pipelines and ETL processes to collect, clean, and process large datasets. The system is built on the microservice architecture and deployed Kubernetes (use AWS EKS service) across 3 AWS regions globally (US, HK, SG).
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop data solutions that meet business needs. Use BI tools for data analytics, such as Grafana, AWS QuickSight, or Excel (Google Sheets).
Develop and implement data integration strategies and data transformation logic, ensuring high-quality and accurate data in the data warehouse. Use Kafka and Nifi tech-stack & eco-system to build data flow.
Optimize and improve the performance, efficiency, and reliability of data pipelines, data models, and data storage solutions. Use database or object storage services like PostgreSQL, ElasticSearch, Redis, and AWS S3.
Monitor and troubleshoot data pipeline issues, ensuring data integrity and timely data delivery. Use tools for monitoring logs and issues such as Sentry, Grafana, or alerts Slack.

At Crossian, our people are the key to our success. We believe in creating an attractive total compensation package (TCP) that not only retains employees but allows them to excel in their profession. These include:
Competitive gross salary
Full salary during probation
20 days work-from-home & 12 days of paid annual leave
Global health insurance package for yourself and direct family members
Guaranteed 13th month salary
Quarterly bonus & Year-end bonus as part of our profit sharing program
A Pantry & a Crossian Cafe stocked with goodies, ready to serve
Lots of other company benefits including 5-star annual company trip, budget for frequent team building activities and other monthly / quarterly / annual company events
General company T&D Program + dedicated T&D budget for managers
Other benefits in accordance to Company's Policy and Vietnam Labor Laws

Bachelor's degree in Computer Science or a related field.
1+ years of experience in Backend development or Data engineering, ETL development, or a similar role.
Understanding of microservice architecture.
Proficiency one of langue in C#, Java, or Python for data processing and scripting.
Experience working with relational databases, such as one of the database types: PostgreSQL, MySQL, Oracle, or MS SQL Server.
Understanding of document databases, such as one the database types: Elasticsearch, Redis, MongoDB, or Apache Solr.
Excellent communication and collaboration skills, especially in an Agile culture environment.

NICE TO HAVE:
Experience with container orchestration, such as AWS EKS or Kubernetes
Experience with databases, and object storage services, such as PostgreSQL, ElasticSearch, Redis, and AWS S3.
Experience with data streaming platforms, such as Apache Kafka or Apache Nifi.
Knowledge of data integrated from various sources, such as web services, APIs, and file systems.
Strong problem-solving skills, attention to detail, and the ability to work independently and as part of a team.
English proficiency