Data EngineerCÔNG TY TNHH LIVE GROUP VIỆT NAM
Nơi làm việc: Hồ Chí Minh
Ngành nghề: IT phần mềm, IT / Phần mềm / IOT / Điện tử viễn thông
Thu nhập: Đến 45 triệu VNĐ
Hình thức: Toàn thời gian
Ngày đăng: 23/08/2024
Hạn nộp: 24/09/2024
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Mô tả công việc
Role and Responsibilities
Live Payments is seeking a talented, experienced Data Engineer to join our growing, multi-national team. The Data Engineer will be responsible for designing, building, and maintaining the systems and infrastructure that enable the processing, collection, storage, and analysis of large volumes of data.
Core duties include:
Collecting data from various sources. Streamlining data collection methods to create automated and easy-to-use routines.
Analyse collected data and put it into a format others can easily interpret.
Supporting the data warehouse in identifying and revising reporting requirements.
Collaborating with other team members, including engineers and programmers, to determine areas for improvement regarding data.
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
Proactively analyse data to answer critical questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
Gather, understand, and document detailed business requirements using appropriate tools and techniques.
Ensuring data consistency and accuracy through data validation and cleansing techniques
Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and AWS 'big data' technologies.
Live Payments is seeking a talented, experienced Data Engineer to join our growing, multi-national team. The Data Engineer will be responsible for designing, building, and maintaining the systems and infrastructure that enable the processing, collection, storage, and analysis of large volumes of data.
Core duties include:
Collecting data from various sources. Streamlining data collection methods to create automated and easy-to-use routines.
Analyse collected data and put it into a format others can easily interpret.
Supporting the data warehouse in identifying and revising reporting requirements.
Collaborating with other team members, including engineers and programmers, to determine areas for improvement regarding data.
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
Proactively analyse data to answer critical questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
Gather, understand, and document detailed business requirements using appropriate tools and techniques.
Ensuring data consistency and accuracy through data validation and cleansing techniques
Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and AWS 'big data' technologies.
Yêu cầu
Key skills
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases.
Experience building and optimising "big data" pipelines, architectures and data sets.
Strong SQL or Excel skills, with an aptitude for learning other analytics tools.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Strong knowledge of business intelligence platforms, developing and updating BI reports, and communicating actionable insights to improve corporate decision-making.
Strong analytical skills with the ability to collect, organise, and analyse significant amounts of information with attention to detail and accuracy.
High-level experience in methodologies and processes for managing large-scale databases.
Demonstrated experience in handling large data sets and relational databases.
Excellent English skills encompassing writing, reading, speaking, and listening.
Excellent interpersonal skills with the ability to collaborate effectively across departments and teams (both internal and external).
Qualifications and experience
University Degree Qualified in a Tech or Business field.
3-4 years of data analysis experience.
IELTS 6.0 or equivalent would be beneficial.
Experience working in the payments and financial services industries.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases.
Experience building and optimising "big data" pipelines, architectures and data sets.
Strong SQL or Excel skills, with an aptitude for learning other analytics tools.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Strong knowledge of business intelligence platforms, developing and updating BI reports, and communicating actionable insights to improve corporate decision-making.
Strong analytical skills with the ability to collect, organise, and analyse significant amounts of information with attention to detail and accuracy.
High-level experience in methodologies and processes for managing large-scale databases.
Demonstrated experience in handling large data sets and relational databases.
Excellent English skills encompassing writing, reading, speaking, and listening.
Excellent interpersonal skills with the ability to collaborate effectively across departments and teams (both internal and external).
Qualifications and experience
University Degree Qualified in a Tech or Business field.
3-4 years of data analysis experience.
IELTS 6.0 or equivalent would be beneficial.
Experience working in the payments and financial services industries.
Quyền lợi
Fully social insurance according to Vietnam Labor Law
Full salary on probation
13th month salary and performance bonus
Annual leave: 14 days/ year+ 01 day off for birthday leave
Performance review twice a year
Annual health check and vaccination
Premium Health Care Insurance (covering for spouse and children)
Personal Learning & Career Development Program (15.6 millions VND/ year)
Health Scheme Program
Laptop provided (Macbook/Window)
Free parking, coffee, snacks, etc
Attractive career path
Regular team dinners and team building activities
International and friendly working environment
Full salary on probation
13th month salary and performance bonus
Annual leave: 14 days/ year+ 01 day off for birthday leave
Performance review twice a year
Annual health check and vaccination
Premium Health Care Insurance (covering for spouse and children)
Personal Learning & Career Development Program (15.6 millions VND/ year)
Health Scheme Program
Laptop provided (Macbook/Window)
Free parking, coffee, snacks, etc
Attractive career path
Regular team dinners and team building activities
International and friendly working environment
Giới thiệu công ty
CÔNG TY TNHH LIVE GROUP VIỆT NAM việc làm
151 Bến Vân Đồn, Phường 6, Quận 4, Hồ Chí Minh
Quy mô: Từ 26 - 100 nhân viên
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Vị trí Data Engineer do công ty CÔNG TY TNHH LIVE GROUP VIỆT NAM tuyển dụng tại Hồ Chí Minh, Joboko tự động tổng hợp mức lương Đến 45 triệu VNĐ, tìm thêm việc làm về Data Engineer hoặc công ty CÔNG TY TNHH LIVE GROUP VIỆT NAM ở các link phía trên
Giới thiệu công ty
CÔNG TY TNHH LIVE GROUP VIỆT NAM việc làm
151 Bến Vân Đồn, Phường 6, Quận 4, Hồ Chí Minh
Quy mô: Từ 26 - 100 nhân viên