Data Engineer Manager

Yes4All is one of the leading brands for home sporting goods & furniture in the e-commerce market. Founded in 2010, we have strived to be the world leader in e-commerce enablers in term of trading, product creating and e-commerce servicing. Based in California with an operation office in HCMC, we have more than 500 young and talented members with expert knowledge and experience in the e-commerce industry.

We are on an ambitious journey to dominate not only US e-commerce market but also to enter new e-commerce markets of more than 15 countries in Europe, Asia and North America, not only Amazon channel but also Walmart, Wayfair among others. Besides, Home sporting goods, Furniture, Outdoor and Gardening are also great opportunities that we desire to occupy and create significant values. With our steady knowledge in E-commerce, Yes4All started to provide end-to-end ecommerce-enabler service in order to help Vietnamese and global manufacturers or struggling sellers bring their products to the US & International markets.

Our mission : Connect the Worldwide Resources & create innovative platform to bring products and services from innovators and manufacturers to worldwide customers more efficiently.

Our vision : To be the world leader of e-commerce enabler in term of trading, product creating, and e-commerce servicing.

I. JOB DESCRIPTIONS

• Management :

Lead and mentor a team of data engineers, providing technical guidance and career development support.

Define and enforce data quality, security, and governance standards to ensure compliance with regulations.

Monitor data infrastructure health, troubleshoot performance issues, and implement proactive optimizations.

Architect and implement scalable, reliable, and efficient data pipelines and ETL processes.

Design and manage data storage solutions, including data lakes, warehouses, and real-time streaming architectures.

Optimize data processing frameworks for performance, cost efficiency, and scalability.

Collaborate with data scientists, analysts, and software engineers to support AI / ML and analytics use cases.

Evaluate and integrate emerging technologies and cloud solutions to enhance data infrastructure.

Ensure clear documentation of data architectures, pipelines, and best practices for team knowledge sharing.

II. REQUIREMENTS

Strong expertise in data engineering principles, including data modeling, ETL, and real-time streaming.

Proficiency in SQL and NoSQL databases, data warehousing solutions (Snowflake, Redshift, BigQuery), and distributed systems.

Experience with data pipeline orchestration tools (Apache Airflow, Luigi, Prefect).

Deep knowledge of cloud data services (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CloudFormation).

Strong programming skills in Python, Java, or Scala for data processing.

Expertise in big data technologies such as Apache Spark, Hadoop, Kafka, and Flink.

Familiarity with data governance, security, and compliance standards (GDPR, HIPAA, CCPA).

Understanding of DevOps, CI / CD, and containerization technologies (Docker, Kubernetes) for data applications.

2+ years of working as Data Engineer Manager.

Strong leadership and team management skills to guide and grow a high-performing data engineering team.

Excellent problem-solving and analytical skills to design scalable and efficient data solutions.

Effective communication and collaboration skills to align technical initiatives with business goals.

Ability to drive innovation and stay updated on emerging data engineering technologies.

Strong project management skills to oversee multiple data initiatives and ensure timely delivery.

Ability to balance hands-on technical work with strategic planning and team leadership.

III. WHY YOU WILL LOVE JOINING US?

And much more, join us and let yourself explore other fantastic things!

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