19 Data Engineering Manager jobs in Vietnam
Việc Làm Talend Engineer (Big Data)
Ho Chi Minh City
Công ty TNHH Aperia Solutions Việt Nam
Posted today
Job Viewed
Job Description
**Mô tả công việc**:
(Mức lương: Từ 15 triệu VNĐ)
Job description
Design, develop, test, and deploy new ETL pipelines or enhancements to existing pipelines using Talend in Big Data environment.
Translate functional requirements into technical designs.
Perform end to end automation of ETL process for various datasets that are being ingested into big data platform.
Resolve customer complaints with data and respond to suggestions for improvements and enhancements.
Recommend strategies for technical aspects of projects as well as broad system improvements.
Ensures adherence to established standards and may consult with senior managers on technology solutions.
Your skills and experience
Good English communication in both verbal and written.
5+ years of related IT experience
3+ years development experience with Talend Data Integration module
2+ years of Experience with Talend Administration Center, Data Quality, API Designer and Services, and Big Data Frameworks modules
2+ years of experience with Hadoop, Hive, HDFS and Oracle RDBMS
Experience with database schema, object management, data modeling & architecture, data warehouse design.
Strong knowledge of Java programming and PL- SQL
Experience with API integration (REST)
Working knowledge of Unix/Linux and Shell script
Working knowledge of source-code control using a tool such as GitLab
Experience with CI/CD and DevOps development using secure coding practices.
Performance tuning is a plus.
Knowledge in emerging cloud technologies related to Big Data is a plus.
Previous experience in Finance/Banking industry is a plus.
Why you'll love working here
Highly competitive salary.
Full salary for probation & full coverage of social insurance.
Premium healthcare for you and your beloved one.
Monthly childcare support
Annual Leave: 15 days; Paternity Leave: 6 weeks, Bereavement leave: 10 days.
Various active sporty clubs: Football, Billiards, Badminton, E-sport clubs
Frequent opportunities to travel to US headquarter from 3-6 months.
aperia solutions viet nam là công ty Trách nhiệm hữu hạn đang hoạt động lĩnh vực IT Phần mềm tại TPHCM. Hiện tại chúng tôi đang cần tuyển vị trị trí "(Mid/Sr) Java Developer (ReactJS, J2EE, Spring boot)", "Talend engineer (Big data)". với các kỹ năng như Test Automation, IT phần mềm, Quy Trình Kỹ Thuật.Bạn sẽ được hưởng các chế độ phúc lợi như Văn Phòng Tiện Nghi, Văn Hóa Công Ty Tốt khi làm việc tại aperia solutions viet nam.
**Chức vụ**: Nhân viên/Chuyên viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
Văn Phòng Tiện Nghi
Văn Hóa Công Ty Tốt
Tiệc liên hoan
**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề
**Yêu cầu công việc**:
Data Analyst
IT phần mềm
Quy Trình Kỹ Thuật
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: Kinh Doanh/Bán Hàng,Tư Vấn Bán Hàng,Xây Dựng
Trung cấp - Nghề
Không yêu cầu
(Mức lương: Từ 15 triệu VNĐ)
Job description
Design, develop, test, and deploy new ETL pipelines or enhancements to existing pipelines using Talend in Big Data environment.
Translate functional requirements into technical designs.
Perform end to end automation of ETL process for various datasets that are being ingested into big data platform.
Resolve customer complaints with data and respond to suggestions for improvements and enhancements.
Recommend strategies for technical aspects of projects as well as broad system improvements.
Ensures adherence to established standards and may consult with senior managers on technology solutions.
Your skills and experience
Good English communication in both verbal and written.
5+ years of related IT experience
3+ years development experience with Talend Data Integration module
2+ years of Experience with Talend Administration Center, Data Quality, API Designer and Services, and Big Data Frameworks modules
2+ years of experience with Hadoop, Hive, HDFS and Oracle RDBMS
Experience with database schema, object management, data modeling & architecture, data warehouse design.
Strong knowledge of Java programming and PL- SQL
Experience with API integration (REST)
Working knowledge of Unix/Linux and Shell script
Working knowledge of source-code control using a tool such as GitLab
Experience with CI/CD and DevOps development using secure coding practices.
Performance tuning is a plus.
Knowledge in emerging cloud technologies related to Big Data is a plus.
Previous experience in Finance/Banking industry is a plus.
Why you'll love working here
Highly competitive salary.
Full salary for probation & full coverage of social insurance.
Premium healthcare for you and your beloved one.
Monthly childcare support
Annual Leave: 15 days; Paternity Leave: 6 weeks, Bereavement leave: 10 days.
Various active sporty clubs: Football, Billiards, Badminton, E-sport clubs
Frequent opportunities to travel to US headquarter from 3-6 months.
aperia solutions viet nam là công ty Trách nhiệm hữu hạn đang hoạt động lĩnh vực IT Phần mềm tại TPHCM. Hiện tại chúng tôi đang cần tuyển vị trị trí "(Mid/Sr) Java Developer (ReactJS, J2EE, Spring boot)", "Talend engineer (Big data)". với các kỹ năng như Test Automation, IT phần mềm, Quy Trình Kỹ Thuật.Bạn sẽ được hưởng các chế độ phúc lợi như Văn Phòng Tiện Nghi, Văn Hóa Công Ty Tốt khi làm việc tại aperia solutions viet nam.
**Chức vụ**: Nhân viên/Chuyên viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
Văn Phòng Tiện Nghi
Văn Hóa Công Ty Tốt
Tiệc liên hoan
**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề
**Yêu cầu công việc**:
Data Analyst
IT phần mềm
Quy Trình Kỹ Thuật
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: Kinh Doanh/Bán Hàng,Tư Vấn Bán Hàng,Xây Dựng
Trung cấp - Nghề
Không yêu cầu
This advertiser has chosen not to accept applicants from your region.
0
Big Data Engineer (Spark/ Hadoop/ Scala)
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 22 days ago
Job Viewed
Job Description
- Works on the data pipeline infrastructure that is veritably the backbone of our business li>Writing elegant functional Scala code to crunch TBs of data on Hadoop clusters, mostly using Spark
- Be owning a data pipeline deployment to clusters: on-prem or on-cloud (AWS or GCP or more). li>Be managing Hadoop clusters right from security to reliability to HA. li>Building a pluggable, unified data lake from scratch.
- Automating and scaling tasks for the Data Science team. < i>Constantly look to improve framework and pipelines, hence learning on the job is sort of a given. li>Our expertise and requirements include but are not limited to Spark, Scala, HDFS, Yarn, Hive, Kafka, Distributed Systems, Python, Datastore (Relational and NoSql) and Airflow.
This advertiser has chosen not to accept applicants from your region.
1
Big Data Engineer (Spark/ Hadoop/ Scala)
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 27 days ago
Job Viewed
Job Description
- Works on the data pipeline infrastructure that is veritably the backbone of our business li>Writing elegant functional Scala code to crunch TBs of data on Hadoop clusters, mostly using Spark
- Be owning a data pipeline deployment to clusters: on-prem or on-cloud (AWS or GCP or more). li>Be managing Hadoop clusters right from security to reliability to HA. li>Building a pluggable, unified data lake from scratch.
- Automating and scaling tasks for the Data Science team. < i>Constantly look to improve framework and pipelines, hence learning on the job is sort of a given. li>Our expertise and requirements include but are not limited to Spark, Scala, HDFS, Yarn, Hive, Kafka, Distributed Systems, Python, Datastore (Relational and NoSql) and Airflow.
This advertiser has chosen not to accept applicants from your region.
2
Big Data Engineer (Spark/ Hadoop/ Scala)
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 6 days ago
Job Viewed
Job Description
- Works on the data pipeline infrastructure that is veritably the backbone of our business li>Writing elegant functional Scala code to crunch TBs of data on Hadoop clusters, mostly using Spark
- Be owning a data pipeline deployment to clusters: on-prem or on-cloud (AWS or GCP or more). li>Be managing Hadoop clusters right from security to reliability to HA. li>Building a pluggable, unified data lake from scratch.
- Automating and scaling tasks for the Data Science team. < i>Constantly look to improve framework and pipelines, hence learning on the job is sort of a given. li>Our expertise and requirements include but are not limited to Spark, Scala, HDFS, Yarn, Hive, Kafka, Distributed Systems, Python, Datastore (Relational and NoSql) and Airflow.
This advertiser has chosen not to accept applicants from your region.
3
Head of Data Management
Hanoi, Hanoi
NIC HR
Posted today
Job Viewed
Job Description
**Job Description**:
Objective
- To establish a Center of Excellence for BI & Analytics to support the business in making better decisions, including but not limited to the areas of customer selection criteria, product pricing, employee profiling and profitability drivens apart from producing high quality, sophisticated management information reports required & helpful in governing & growing the business.
- To establish the infrastructure including DWH & BI tools, build a large team of capable staff through recruitment, training & retention & implement the reports & models necessary for delivering the objective.
Regular Activities
- Implement data governance mechanism including processes, policies, roles & responsibilities.
- Establish & maintain data warehouse & data marks with glossary & data models as well as ETL tools to implement a federated BI structure.
- Implement & maintain a reporting system for primary & core management reports as well as ad hoc requests.
- Assume key responsibilities for ensuring data quality.
- Develop models for customer segmentation, models including cross sales campaigns, process optimization, revenue & loss forecasting, staff profiling, unit costing, product & segment profitability models, capacity planning & others.
- Participate in development, maintenance & validation of credit & collection scorecards.
- Implement risk reporting & monitoring platform for credit & non-credit risk.
- Facilitate design & development of academic curriculum in the area of BI & Analytics.
- Compare & develop BICC as per cutting-edge & gold standards internationally to make a best-in-class CoE
**Required skills**:
At least 10 years’ experience of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated (managed at least 15 people).
- Statistics
- SAS knowledge
- Financial services experience
Objective
- To establish a Center of Excellence for BI & Analytics to support the business in making better decisions, including but not limited to the areas of customer selection criteria, product pricing, employee profiling and profitability drivens apart from producing high quality, sophisticated management information reports required & helpful in governing & growing the business.
- To establish the infrastructure including DWH & BI tools, build a large team of capable staff through recruitment, training & retention & implement the reports & models necessary for delivering the objective.
Regular Activities
- Implement data governance mechanism including processes, policies, roles & responsibilities.
- Establish & maintain data warehouse & data marks with glossary & data models as well as ETL tools to implement a federated BI structure.
- Implement & maintain a reporting system for primary & core management reports as well as ad hoc requests.
- Assume key responsibilities for ensuring data quality.
- Develop models for customer segmentation, models including cross sales campaigns, process optimization, revenue & loss forecasting, staff profiling, unit costing, product & segment profitability models, capacity planning & others.
- Participate in development, maintenance & validation of credit & collection scorecards.
- Implement risk reporting & monitoring platform for credit & non-credit risk.
- Facilitate design & development of academic curriculum in the area of BI & Analytics.
- Compare & develop BICC as per cutting-edge & gold standards internationally to make a best-in-class CoE
**Required skills**:
At least 10 years’ experience of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated (managed at least 15 people).
- Statistics
- SAS knowledge
- Financial services experience
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist - Portfolio Management
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 22 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist - Portfolio Management
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 22 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
- Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist - Portfolio Management
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 6 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist - Portfolio Management
700000 Ho Chi Minh, Ho Chi Minh
Trusting Social
Posted 6 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
This advertiser has chosen not to accept applicants from your region.
8
Engineering Manager
Hanoi, Hanoi
Hitachi Energy Vietnam Company Limited
Posted today
Job Viewed
Job Description
**Description**
General information:Lead a number of engineering teams within a business unit. Drive team's performance to ensure that safety, integrity, financial and contractual requirements are met. Initiate and drive continuous improvement activities across teams.Responsibilities:Technical contribution: Lead engineering teams which are responsible for a number of products or sector areas and ensure delivery of a portfolio of projects on time, in full provide direction to the teams with a focus on safety, on time delivery, quality and margin improvement. Customer and sales: Build and maintain customer relationships, seek feedback and provide innovative solutions to meet customer requirements and deliver improvements, provide engineering support during the bid phase, support presentation of proposals to customers, work with business development to target new opportunities and present new technology and innovation at conferences, client events. Contract management: Oversees contractual work within one's area of responsibility, conduct regular progress reviews, identify and manage contractual risks. Planning and control: Ensure that engineering teams are adequately resourced, developed and equipped to meet business needs, oversees planning and control process in the engineering teams and conduct regular reviews to ensure that the teams are delivering work according to the customer and HE requirements. Risk and opportunity management: Create and implement plans to ensure that business risks are identified and managed, opportunities maximized, ensure that required systems are understood, developed and correctly implemented. Supply Chain Management: Collaborate with the supply chain function to ensure that correct suppliers services and equipment are available to support engineering execution. Technical leadership and development: Facilitate best practice sharing within the engineering team. Processes and tools: Initiate and drive continuous improvement activities, develop, implement and improve relevant processes, policies and procedures to improve effectiveness across the engineering function. People leadership and development Ensures (with HR support) that the area of responsibility is properly organized, staffed, skilled and directed, guide, motivate, coach and develop employees reporting directly and indirectly, within HR policies. Finance and Budget: Create financial plans and budget estimate for unit/business area oversees adherence to these plans and estimate.Your background:Bachelor/ Master - Electrical or Mechanical Engineering. 10+ experience in Oil type Transformers. Good communication skill.
General information:Lead a number of engineering teams within a business unit. Drive team's performance to ensure that safety, integrity, financial and contractual requirements are met. Initiate and drive continuous improvement activities across teams.Responsibilities:Technical contribution: Lead engineering teams which are responsible for a number of products or sector areas and ensure delivery of a portfolio of projects on time, in full provide direction to the teams with a focus on safety, on time delivery, quality and margin improvement. Customer and sales: Build and maintain customer relationships, seek feedback and provide innovative solutions to meet customer requirements and deliver improvements, provide engineering support during the bid phase, support presentation of proposals to customers, work with business development to target new opportunities and present new technology and innovation at conferences, client events. Contract management: Oversees contractual work within one's area of responsibility, conduct regular progress reviews, identify and manage contractual risks. Planning and control: Ensure that engineering teams are adequately resourced, developed and equipped to meet business needs, oversees planning and control process in the engineering teams and conduct regular reviews to ensure that the teams are delivering work according to the customer and HE requirements. Risk and opportunity management: Create and implement plans to ensure that business risks are identified and managed, opportunities maximized, ensure that required systems are understood, developed and correctly implemented. Supply Chain Management: Collaborate with the supply chain function to ensure that correct suppliers services and equipment are available to support engineering execution. Technical leadership and development: Facilitate best practice sharing within the engineering team. Processes and tools: Initiate and drive continuous improvement activities, develop, implement and improve relevant processes, policies and procedures to improve effectiveness across the engineering function. People leadership and development Ensures (with HR support) that the area of responsibility is properly organized, staffed, skilled and directed, guide, motivate, coach and develop employees reporting directly and indirectly, within HR policies. Finance and Budget: Create financial plans and budget estimate for unit/business area oversees adherence to these plans and estimate.Your background:Bachelor/ Master - Electrical or Mechanical Engineering. 10+ experience in Oil type Transformers. Good communication skill.
This advertiser has chosen not to accept applicants from your region.
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