Data Engineer-Senior II
- Thỏa thuận
- 4 - 7 năm kinh nghiệm
Hạn nộp hồ sơ: 11/10/2026 (Còn 27 ngày)
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Description
Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis.
Grade - T5
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
What your main responsibilities are:
Accountabilities:
• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to
support continuing increases in data volume and complexity
• Data Integration - Connect offline and online data to continuously improve overall understanding of
customer behavior and journeys for personalization. Data pre-processing including collecting, parsing,
managing, analyzing and visualizing large sets of data
• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis.
Drive standards, define and implement/improve data governance strategies and enforce best practices
to scale data analysis across platforms
• Data Transformation - Processes data by cleansing data and transforming them to proper storage
structure for the purpose of querying and analysis using ETL and ELT process
• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and
more timely understanding of operation.
Qualifications & Specifications:
• Masters /Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent.
• Strong programming skills in Python/Pyspark/SAS.
• Proven experience with large data sets and related technologies - Hadoop, Hive, Distributed
computing systems, Spark optimization.
• Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS
Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows.
• Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform,
Octopus.
• Hands-on experience with SQL and data modeling to support the organization's data storage and
analysis needs.
• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to
support continuing increases in data volume and complexity
• Data Integration - Connect offline and online data to continuously improve overall understanding of
customer behavior and journeys for personalization. Data pre-processing including collecting, parsing,
managing, analyzing and visualizing large sets of data
• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis.
Drive standards, define and implement/improve data governance strategies and enforce best practices
to scale data analysis across platforms
• Data Transformation - Processes data by cleansing data and transforming them to proper storage
structure for the purpose of querying and analysis using ETL and ELT process
• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and
more timely understanding of operation.
Qualifications & Specifications:
• Masters /Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent.
• Strong programming skills in Python/Pyspark/SAS.
• Proven experience with large data sets and related technologies - Hadoop, Hive, Distributed
computing systems, Spark optimization.
• Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS
Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows.
• Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform,
Octopus.
• Hands-on experience with SQL and data modeling to support the organization's data storage and
analysis needs.
• Proficiency in enterprise data pipeline and ETL tools such as Ab Initio, Informatica, DataStage, or equivalent technologies
• Experience on any BI tool like Power BI (Good to have).
• Cloud migration experience (Good to have)
• Cloud and Data Engineering certification (Good to have)
• Working in an Agile environment
4-7 years of relevant work experience needed.
Experience with stakeholder management will be an added advantage.
What we are looking for
Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred.
Knowledge, Skills and Abilities
• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Data Modeling and Database Design
• ETL (Extract, Transform, Load) Skills
• Programming Skills
Knowledge, Skills and Abilities
• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Data Modeling and Database Design
• ETL (Extract, Transform, Load) Skills
• Programming Skills
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
Our Company
FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World's Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
Our Philosophy
The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
Our Culture
Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970's. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today's global marketplace.
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
FedEx Express (TNT Express Worldwide Vietnam)
Xem trang công ty- Địa chỉ công ty: 39B Truong Son Street, Ward 4, Tan Binh Dist, Ho Chi Minh City
- Quy mô: Từ 26 - 100 nhân viên
- Lĩnh vực: Vận tải - Lái xe/ Tài xế
Thông tin công việc
Vị trí:
Nhân viên
Hình thức làm việc:
Toàn thời gian
Việc làm tương tự
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