Tuyển Data Engineer thu nhập Thoả thuận Toàn thời gian tại Hồ Chí Minh - CÔNG TY TNHH AMARIS VIỆT NAM

Tuyển Data Engineer thu nhập Thoả thuận Toàn thời gian tại Hồ Chí Minh - CÔNG TY TNHH AMARIS VIỆT NAM

CÔNG TY TNHH AMARIS VIỆT NAM
Ngày đăng tuyển: 13/10/2024
Hạn nộp hồ sơ: 30/11/2024
Tin tuyển dụng Mức độ phù hợp Suitable

Chi Tiết Tin Tuyển Dụng Data Engineer Tại CÔNG TY TNHH AMARIS VIỆT NAM

Mức lương
Thỏa thuận
Hình thức làm việc
Toàn thời gian cố định
Giới tính
Không yêu cầu
Số lượng tuyển
3 người
Kinh nghiệm
3 năm
Cấp bậc
Nhân viên
Địa điểm làm việc

- Hồ Chí Minh:

- Hồ Chí Minh

Mô Tả Công Việc Data Engineer Với Mức Lương Thỏa thuận

ABOUT THE JOB
Analyse statistics, data, and algorithms for projection accuracy for the deployed data model. Create, maintain, and design relational databases to support enterprise application and physical data modeling according to project requirements for data acquisition and security as well as customer-defined deliverables. Develop strategies for data modeling, design, and implementation to meet stated requirements for Metadata management, Operation Data Stores, Data Lake, Data Warehouse, Data Marts and Extract Transform Load environments in batch processing, and real-time injection. Review existing data architectures to determine overall effectiveness and compliance with determined objectives, develop comprehensive strategies for improving or replacing underperforming areas, and come up with plans to execute these solutions. Create and test physical data models for a variety of business data, applications, database structures, and metadata tables to meet operational goals for performance and efficiency. Carrying out day-to-day support for the reporting system.
Analyse statistics, data, and algorithms for projection accuracy for the deployed data model.
Create, maintain, and design relational databases to support enterprise application and physical data modeling according to project requirements for data acquisition and security as well as customer-defined deliverables.
Develop strategies for data modeling, design, and implementation to meet stated requirements for Metadata management, Operation Data Stores, Data Lake, Data Warehouse, Data Marts and Extract Transform Load environments in batch processing, and real-time injection.
Review existing data architectures to determine overall effectiveness and compliance with determined objectives, develop comprehensive strategies for improving or replacing underperforming areas, and come up with plans to execute these solutions.
Create and test physical data models for a variety of business data, applications, database structures, and metadata tables to meet operational goals for performance and efficiency.
Carrying out day-to-day support for the reporting system.

Với Mức Lương Thỏa thuận Thì Cần Những Yêu Cầu Công Việc Gì

ABOUT YOU
Bachelor’s degree in Computer Science, Information Technology, or a related field. From 3+ years of experience in data engineering. Strong programming skills in Python, Spark, Pyspark. Hands-on experience with Relational databases (SQL, SQL Server, PostgreSQL, Oracle, DB2, DynamoDB etc.) Experience working with Cloud technologies Amazon Web Services (AWS) Good understanding of building data pipelines using an ETL tool like SSIS. Experience with AWS Glue is an advantage. Good understanding of Data Modelling, processing, and warehouse techniques. Skilled at optimizing large, complicated SQL statements. Knowledge at reporting development with SSRS and Power BI. Knowledge of Insurance or Financial Services industry.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
From 3+ years of experience in data engineering.
3+ years
of experience
data engineering
Strong programming skills in Python, Spark, Pyspark.
Python, Spark, Pyspark.
Hands-on experience with Relational databases (SQL, SQL Server, PostgreSQL, Oracle, DB2, DynamoDB etc.)
databases
Experience working with Cloud technologies Amazon Web Services (AWS)
Amazon Web Services (AWS)
Good understanding of building data pipelines using an ETL tool like SSIS.
Experience with AWS Glue is an advantage.
AWS Glue
Good understanding of Data Modelling, processing, and warehouse techniques.
Skilled at optimizing large, complicated SQL statements.
Knowledge at reporting development with SSRS and Power BI.
Knowledge of Insurance or Financial Services industry.

Tại CÔNG TY TNHH AMARIS VIỆT NAM Thì Được Hưởng Những Gì

Benefits
13th-month salary 14+ annual leaves per year Premium healthcare insurance, starting from your probation period Project reviews and yearly performance appraisals Annual company trips Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.) International team with flexible working time + hybrid working Tailor-made career path Technical workshops and training courses Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trips
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
International team with flexible working time + hybrid working
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries

Cách Thức Ứng Tuyển Tại CÔNG TY TNHH AMARIS VIỆT NAM

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Hạn nộp hồ sơ: 30/11/2024

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Liên Hệ Công Ty

Quy mô: Trên 5000 Nhân viên
Địa điểm: Lầu 15, tòa nhà Viettel, 285 Cách Mạng Tháng 8, Phường 12, Quận 10, Thành phố Hồ Chí Minh, Việt Nam

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