Senior Data Engineer (Spark, Databricks) at KMS Technology

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analysis, Data Warehousing, ETL, SQL, Python, Reporting Tools, Data Modeling, Data Quality Monitoring, Agile Methodologies, Data Pipelines, Data Streaming, Cloud Environments, Performance Monitoring, Data Relationship Analysis

Industry

Software Development

Description

Company Description 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 Job Description 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. Qualifications General requirements: Bachelor's degree in Computer Science, Information Technology, or a related field 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 Additional Information 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!

Responsibilities

The Senior Data Engineer is responsible for designing and maintaining optimized data pipelines and developing data models for enterprise data lakes and warehouses. They will also monitor data quality and provide support to clients while collaborating with developers to improve applications.