KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions-faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next-accelerating innovation, crafting brilliant solutions, and creating  real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities.

More about KMS Technology:

• Website: https://kms-technology.com 
• Linkedin: https://www.linkedin.com/company/kms-technology 

• Design and customize reports.
• Modify databases according to requests and perform tests.
• Monitoring the data quality of data pipelines, provide data management support to clients.
• Liaise with developers to improve applications and establish best practices.
• Responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting.
• Developing and implementing data models, data marts for enterprise data lake/data warehouse and integration development process.
• Building new Data Analytics solutions to provide insights for decision-making and performance improvements.
• Writing effective and scalable ETL processes in building the business’ data collection systems and processing pipelines.
• Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate and planning, etc.
• Provide mentoring/training for junior members if any.
• Perform other tasks assigned by the Leader/ Manager.

General requirements:

• At least intermediate level of English level
• Likely having 3+ years of experience depending on how fast of your learning and developing technical capability
• Familiar with Agile development methodologies (Scrum, XP, Kanban)
• Ability to obtain deep knowledge of the project technologies and work independently with minimum guidance
• Ability to self-learn and adapt to new technologies quickly

Technical requirements:

• Strong experience in Data Analysis, Data Engineering, Data Warehousing and Reporting services
• Good knowledge in data transformation (ETL) and processing solutions and SQL databases.
• Experience with Python programing language and Reporting tools (BI, Tableau, etc)
• Experience in database performance monitoring and tuning
• Knowledge of data modeling and data relationship analysis for the large scale of business applications
• Experience on data streaming and replication data

Nice to have:

• Familiarity working with cloud environments (Azure/AWS/GCP)
• Good analytical and organization skills

Perks You'll Enjoy 

• Working in one of the Best Places to Work in Vietnam
• Building large-scale & global software products
• Working & growing with Passionate & Talented Team
• Diverse careers opportunities with Software Services, Software Product Development, IT Solutions & Consulting
• Attractive Salary and Benefits
• Performance appraisals every year and performance bonus
• Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia.
• Flexible working time
• Various training on hot-trend technologies, best practices and soft skills
• Premium healthcare insurance for you and your loved ones
• Company trip, big annual year-end party every year, team building, etc.
• Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming…
• Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,…
• Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…)

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