NccSoft Vietnam

Overview of job

• Building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Design, develop, and maintain data pipelines, warehouses, datalake.
• Build the data products that technical users will depend on for business intelligence and ad-hoc access.
• Work side by side with our Data Science to build and automate data pipeline, data ETL, etc. on distributed data processing platforms such as Spark.
• Prepare data inputs for a generic blueprint “model builder”.
• Build production data pipeline for daily ETL and model retraining.
• End-to-end data processing, troubleshooting, and problem diagnosis.

• Hybrid Policy: Work from home up to 3 days per week.
• Total Income = Net salary + Performance bonus (>14 months salary).
• Review salary twice per year base on your performance and output.
• Holiday bonus on 1/1, 30/4, 1/5, 2/9 and personal birthday.
• Lunch allowance of 1,000,000 VND per month.
• PVI Care comprehensive health insurance package for yourself and your family, annual health check.
• NCC women receive full salary maternity allowance.
• Participating in Knowledge Sharing sessions with OpenTalk, MiniTalk weekly.
• Be equipped with modern PC + Laptop equipment.
• Enjoy all of our activities such as Company Trip, Company’s Birthday, YEP, Sport/Game/Code War Contest,…
• We have these clubs for you to join: Football, Table football, Music, English, media and more.
• The office is pleasant, and fully equipped with an attractive pantry with snacks, tea, coffee, and milo,…
• Great promotion opportunities and career paths.

Working hours: Morning: 8h30 – 12h00; Afternoon: 13h00 – 17h30. Monday to Friday (Having to attend 2 OpenTalk sessions per month).

• At least 3 years of working experience with Python, with a strong focus on ETL processes and Cloud Functions development.
• Proficiency in Google Cloud Platform (GCP) stack, including Cloud Functions, Workflows, Pub/Sub, Dataform, and BigQuery.
• Strong skills in data modeling and SQL optimization for efficient data processing and querying.
• Experience with orchestration tools (e.g., Airflow, Dataform) and CI/CD pipelines for data workflows.
• Solid understanding of event-driven architectures and their implementation in data pipelines.
• Good at multi-threading, atomic operations, and computation frameworks such as Spark (Dataframe, DBT, SQL, etc.), distributed storage, and distributed computing.
• Good at communication & teamwork.
• Being open-minded, and willing to learn new things.
• Requires proficiency in English, working directly with foreign partners.