Senior Data Engineer
Hạn nộp hồ sơ: 04/10/2026 (Còn 24 ngày)
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Mô tả công việc
Tóm tắt công việc
About the Company: GrapeSEED is part of the GrapeCity family of companies, delivering international English curriculum to children aged 4-12. Our technology suite is used by teachers, students, parents, and staff for instruction, progress tracking, and operational efficiency. As part of our platform modernization, we are strengthening our data engineering capability across our global teams.
Role Summary:
Design, develop, and optimize scalable data pipelines and workflows
Build and maintain robust data infrastructure, including data lakes and data warehouses
Collaborate with the Data Engineering Lead, Solution Architect, and cross-functional global teams to deliver data solutions
Ensure data quality, integrity, and security across all data systems
Monitor and troubleshoot data pipelines to ensure reliability and performance
Implement best practices for ETL processes and data modeling
Multinational Company - Competitive Benefits
GrapeCity is a multinational private company with over 1,200 employees and more than 30 years of development, operating across 16 countries including Japan, USA, Korea, India, China, and Vietnam.
We hire only "A-level" talents for our projects, recognized by clients as clear, reliable, agile, and exceeding expectations.
Our clients include global leaders such as Microsoft, Sony, Procter & Gamble, Intel, Mitsubishi, AT&T, Thomson, Syngenta, and Infosys.
Microsoft Gold Certified Partner and one of the few companies on the Microsoft Office Advisory Council.
Attractive, competitive starting salary; mid-year and year-end bonuses; annual salary reviews based on performance.
Professional Training & Development
Training before and during projects.
Work with experienced engineers and be mentored by expert leaders in an international work environment
Free English lessons with native American teachers.
Life skills and soft skills training programs.
Work-Life Balance
8 hours/day, weekends off, flexible working hours, minimal overtime.
Annual company trip, team building, sports and hobby clubs (yoga, football, table tennis, etc.) with financial support.
Young, dynamic, professional, and creative work environment.
Full social, health, and unemployment insurance according to law.
12 days annual leave (increasing with seniority), Christmas holiday, and extra half-day off on March 8th for female employees.
About the Company: GrapeSEED is part of the GrapeCity family of companies, delivering international English curriculum to children aged 4-12. Our technology suite is used by teachers, students, parents, and staff for instruction, progress tracking, and operational efficiency. As part of our platform modernization, we are strengthening our data engineering capability across our global teams.
Role Summary:
Design, develop, and optimize scalable data pipelines and workflows
Build and maintain robust data infrastructure, including data lakes and data warehouses
Collaborate with the Data Engineering Lead, Solution Architect, and cross-functional global teams to deliver data solutions
Ensure data quality, integrity, and security across all data systems
Monitor and troubleshoot data pipelines to ensure reliability and performance
Implement best practices for ETL processes and data modeling
Multinational Company - Competitive Benefits
GrapeCity is a multinational private company with over 1,200 employees and more than 30 years of development, operating across 16 countries including Japan, USA, Korea, India, China, and Vietnam.
We hire only "A-level" talents for our projects, recognized by clients as clear, reliable, agile, and exceeding expectations.
Our clients include global leaders such as Microsoft, Sony, Procter & Gamble, Intel, Mitsubishi, AT&T, Thomson, Syngenta, and Infosys.
Microsoft Gold Certified Partner and one of the few companies on the Microsoft Office Advisory Council.
Attractive, competitive starting salary; mid-year and year-end bonuses; annual salary reviews based on performance.
Professional Training & Development
Training before and during projects.
Work with experienced engineers and be mentored by expert leaders in an international work environment
Free English lessons with native American teachers.
Life skills and soft skills training programs.
Work-Life Balance
8 hours/day, weekends off, flexible working hours, minimal overtime.
Annual company trip, team building, sports and hobby clubs (yoga, football, table tennis, etc.) with financial support.
Young, dynamic, professional, and creative work environment.
Full social, health, and unemployment insurance according to law.
12 days annual leave (increasing with seniority), Christmas holiday, and extra half-day off on March 8th for female employees.
Yêu cầu
Your skills and experience
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
At least 5 years of experience as a Data Engineer, including senior-level responsibility
Experience with dimensional modeling
Strong programming skills in Python, Java, or Scala
Hands-on experience with big data technologies (Hadoop, Spark) and cloud platforms, especially AWS data engineering services (Azure is a plus)
Expertise in relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra), with strong SQL proficiency
Proficiency in ETL tools and data pipeline frameworks
Experience with Docker / Kubernetes; knowledge of CI/CD for data pipelines
Proficient English communication (our working language across global teams)
Strong problem-solving skills, attention to detail, high professional ethics and responsibility
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
At least 5 years of experience as a Data Engineer, including senior-level responsibility
Experience with dimensional modeling
Strong programming skills in Python, Java, or Scala
Hands-on experience with big data technologies (Hadoop, Spark) and cloud platforms, especially AWS data engineering services (Azure is a plus)
Expertise in relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra), with strong SQL proficiency
Proficiency in ETL tools and data pipeline frameworks
Experience with Docker / Kubernetes; knowledge of CI/CD for data pipelines
Proficient English communication (our working language across global teams)
Strong problem-solving skills, attention to detail, high professional ethics and responsibility
Thông tin khác
Java
Python
ETL
PostgreSQL
MongoDB
Cassandra
NoSQL
MS SQL
Hadoop
Docker
Apache Spark
Scala
MS Azure
Big Data
AWS
Kubernetes
CI/CD
Dimensional Modeling
Python
ETL
PostgreSQL
MongoDB
Cassandra
NoSQL
MS SQL
Hadoop
Docker
Apache Spark
Scala
MS Azure
Big Data
AWS
Kubernetes
CI/CD
Dimensional Modeling
Thông tin chung
- Thu nhập: Thỏa Thuận
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- Lĩnh vực: IT phần mềm
Thông tin công việc
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