it - data EngineeringACB - Ngân Hàng TMCP Á Châu
Nơi làm việc: Hồ Chí Minh
Lương: Thỏa thuận
Hình thức: Toàn thời gian
Ngày đăng: 08/03/2024
Hạn nộp: 08/05/2024
Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
You will be joining a talented team to build and operate modern data platform. As a Data Engineer, you'll lead initiatives optimizing data flow, ensuring data quality, and implementing security measures.
RESPONSIBILITIES:
- Collaborate with cross-functional teams to understand data requirements and objectives.
- Design and implement scalable and secure data pipelines and data APIs for collecting, processing, storing, and delivering data downstream.
- Develop and maintain datasets, ensuring accuracy, completeness, and compliance with security standards.
- Work closely with data analysts and data services team to understand data needs and implement solutions that meet compliance requirements.
- Implement robust data quality checks and validation processes to identify and rectify inconsistencies, ensuring data integrity.
- Monitor and optimize data processing and storage for efficiency, cost-effectiveness, and compliance.
- Identify and implement solutions to enhance the performance of data pipelines, with a focus on security best practices.
- Apply expertise in security practices, ensuring the protection of sensitive data.
- Writing technical documents (ERD, Operation guide ...) to transfer working pipelines to the operation team.
- Report the progress/issue status to DE leader.
RESPONSIBILITIES:
- Collaborate with cross-functional teams to understand data requirements and objectives.
- Design and implement scalable and secure data pipelines and data APIs for collecting, processing, storing, and delivering data downstream.
- Develop and maintain datasets, ensuring accuracy, completeness, and compliance with security standards.
- Work closely with data analysts and data services team to understand data needs and implement solutions that meet compliance requirements.
- Implement robust data quality checks and validation processes to identify and rectify inconsistencies, ensuring data integrity.
- Monitor and optimize data processing and storage for efficiency, cost-effectiveness, and compliance.
- Identify and implement solutions to enhance the performance of data pipelines, with a focus on security best practices.
- Apply expertise in security practices, ensuring the protection of sensitive data.
- Writing technical documents (ERD, Operation guide ...) to transfer working pipelines to the operation team.
- Report the progress/issue status to DE leader.
Yêu cầu công việc
REQUIREMENTS:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience as a Data Engineer, Backend Developer, or similar roles.
- Experience in data modeling, data lake, data warehouse, and streaming data.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Strong proficiency in big data tech stack such as Hadoop, Spark, Flink, Kafka.
- Strong proficiency in Airflow for designing and managing complex workflows and dependencies.
- Solid understanding of data analytics and flow analysis for downstream app.
- Familiarity with database systems (e.g., SQL, NoSQL) and data integration tools.
- Strong analytical and problem-solving skills with a detail-oriented mindset.
- Excellent communication and collaboration skills to work effectively with cross-functional teams, ready to help other team members.
- Knowledge of security practices in the context of data handling.
- Familiarity with version control systems (e.g., Git) and agile software development practices and tools (JIRA, Confluence)
- Be able to manage time effectively & deliver high-quality work.
- Ability to work independently and manage multiple tasks within deadlines.
- Possess a proactive mindset & positive attitude, able to bring in good influences to your teammates & stakeholders.
- Ability to read and understand English fluently.
It is a plus if you have:
- Knowledge about Data Architecture in the bank, Data model using Data Vault 2.0.
- Knowledge and methods to build a data-driven working environment.
- Know-how to set up, configure and maintain a data self-service environment.
- Know-how and the scripting and coding prowess to set up, configure and maintain a machine learning model development environment.
What we offer:
- Working time: Mon-Fri, flexible working time
- Very attractive salary and performance bonus.
- Opportunities to work with global vendors from different cultures
- Premium Healthcare insurance for employee and family (spouse/children)
- Annual Health check-up, Birthday gift
- External and Internal Training Opportunities
- Working device provided
- Other activities: annual company trip, year-end party, exciting engagement events, coaching opportunities, etc.
- Annual Salary Review & Promotion
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience as a Data Engineer, Backend Developer, or similar roles.
- Experience in data modeling, data lake, data warehouse, and streaming data.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Strong proficiency in big data tech stack such as Hadoop, Spark, Flink, Kafka.
- Strong proficiency in Airflow for designing and managing complex workflows and dependencies.
- Solid understanding of data analytics and flow analysis for downstream app.
- Familiarity with database systems (e.g., SQL, NoSQL) and data integration tools.
- Strong analytical and problem-solving skills with a detail-oriented mindset.
- Excellent communication and collaboration skills to work effectively with cross-functional teams, ready to help other team members.
- Knowledge of security practices in the context of data handling.
- Familiarity with version control systems (e.g., Git) and agile software development practices and tools (JIRA, Confluence)
- Be able to manage time effectively & deliver high-quality work.
- Ability to work independently and manage multiple tasks within deadlines.
- Possess a proactive mindset & positive attitude, able to bring in good influences to your teammates & stakeholders.
- Ability to read and understand English fluently.
It is a plus if you have:
- Knowledge about Data Architecture in the bank, Data model using Data Vault 2.0.
- Knowledge and methods to build a data-driven working environment.
- Know-how to set up, configure and maintain a data self-service environment.
- Know-how and the scripting and coding prowess to set up, configure and maintain a machine learning model development environment.
What we offer:
- Working time: Mon-Fri, flexible working time
- Very attractive salary and performance bonus.
- Opportunities to work with global vendors from different cultures
- Premium Healthcare insurance for employee and family (spouse/children)
- Annual Health check-up, Birthday gift
- External and Internal Training Opportunities
- Working device provided
- Other activities: annual company trip, year-end party, exciting engagement events, coaching opportunities, etc.
- Annual Salary Review & Promotion
Quyền lợi được hưởng
• Average 15 Monthly Base salary per year
• ACB Health Care.
• Meal Allowance.
• Preferential loan as regulated by ACB
• Yearly Medical Checkup & Team building activities.
• Professional and Transparent Working Environment
• ACB Health Care.
• Meal Allowance.
• Preferential loan as regulated by ACB
• Yearly Medical Checkup & Team building activities.
• Professional and Transparent Working Environment
Nộp hồ sơ liên hệ
ACB - Ngân Hàng TMCP Á Châu
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ACB - Ngân Hàng TMCP Á Châu việc làm
442 Nguyễn Thị Minh Khai, Quận 3, TP.HCM
Quy mô: Từ 501 - 1000 nhân viên
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Vị trí it - data Engineering do công ty ACB - Ngân Hàng TMCP Á Châu tuyển dụng tại Hồ Chí Minh, Joboko tự động tổng hợp mức lương Thỏa thuận, tìm thêm việc làm về IT - Data Engineering hoặc công ty ACB - Ngân Hàng TMCP Á Châu ở các link phía trên
Giới thiệu công ty
ACB - Ngân Hàng TMCP Á Châu việc làm
442 Nguyễn Thị Minh Khai, Quận 3, TP.HCM
Quy mô: Từ 501 - 1000 nhân viên