KMS Healthcare

2 Tan Vien, TP Hồ Chí Minh

Quy mô công ty : 100-499

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Tóm lược

100-499

Outsourcing

Việt Nam

Senior Data Engineer

KMS Healthcare

Tan Binh, TP Hồ Chí Minh

  • English
  • Có kinh nghiêm (Nhân viên)
  • Toàn thời gian
  • Thỏa Thuận
  • Ngày Đăng:11/09/2024
  • 1

Mô tả công việc

Tóm tắt công việc

  • 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

Yêu cầu công việc

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
  • Proficiency in writing complex SQL queries across multiple databases (e.g., Oracle, SQL Server) as well as Python scripts for automation tasks
  • Experience with Snowflake for data warehousing and cloud-based data solutions
  • Experience working with Power BI reporting tools for business intelligence analytics
  • Experience working with Microsoft Dynamics 365
  • Experience building new Data Analytics solutions to enhance data-driven decision-making
  • 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
  • Familiarity working with AWS cloud environments
  • Good analytical and organization skills

Ngôn ngữ

  • English

    Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • AWS
  • Data Analysis
  • BI
  • Oracle
  • Python
  • MS Dynamics
  • ETL
  • MS SQL
  • Reporting Services
  • Data Modeling
  • Data Warehouse
  • MS Power BI
  • Snowflake

NĂNG LỰC

  • Agile
  • Scrum
  • Kanban
  • Working Independently
  • Dynamic
  • Organizational Skills
  • Analytic Skills

Thông tin doanh nghiệp

KMS Healthcare is the intersection of world-class technologists and proven Healthcare industry experts.

We empower companies to build transformative next-gen technologies to bring about game-changing resolutions to healthcare’s most challenging problems. Our solutions ensure improved data exchange while maintaining regulatory compliance and data-driven requirements. We are committed to providing innovative tools and expertise to providers, payers, life sciences, and medical technology vendors in order to help create industry-leading health solutions.

Instead of wishing people good health, join us to make it happen. At KMS Healthcare, we leverage technologies to enable a modern way of health service. Covering end-to-end product development, we helped numerous U.S. health practices increase health treatment quality, reduce costs, and save people's lives.