Job Description

Create and manage a single master record for each business entity, ensuring data consistency, accuracy, and reliability.
Implement data governance processes, including data quality management, data profiling, data remediation, and automated data lineage.
Create and maintain multiple robust and high-performance data processing pipelines within Cloud, Private Data Centre, and Hybrid data ecosystems.
Assemble large, complex data sets from a wide variety of data sources.
Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts, and Business users to derive actionable insights and reliable foresights into customer acquisition, operational efficiency, and other key business performance metrics.
Develop, deploy, and maintain multiple microservices, REST APIs, and reporting services.
Design and implement internal processes to automate manual workflows, optimize data delivery, and re-design infrastructure for greater scalability.
Establish expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
Support and work with cross-functional teams in a dynamic environment.

Requirements

Critital: Data Engineer with strong Hadoop / Spark / Talend experience
Experience building and operating large-scale data lakes and data warehouses.
Experience with Hadoop ecosystem and big data tools, including Spark and Kafka.
Experience with Master Data Management (MDM) tools and platforms such as Informatica MDM, Talend Data Catalog, Semarchy xDM, IBM PIM & IKC, or Profisee.
Familiarity with MDM processes such as golden record creation, survivorship, reconciliation, enrichment, and quality.
Experience in data governance, including data quality management, data profiling, data remediation, and automated data lineage.
Experience with stream-processing systems including Spark-Streaming.
Experience working with Cloud services using one or more Cloud providers such as Azure, GCP, or AWS.
Experience with Delta Lake and Databricks.
Advanced working experience with relational SQL and NoSQL databases, including Hive, HBase, and Postgres.
Deep understanding of SQL and the ability to optimize data queries.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
Experience applying modern development principles (Scrum, TDD, continuous integration, and code reviews).
Proven ability to support and work with cross-functional teams in a dynamic environment.

Benefits

Attractive compensation package: 14-month salary scheme plus annual bonus and additional allowances
Annual bonus package tailored based on performance and contribution
Young, open, and dynamic working environment that promotes innovation and creativity
Ongoing learning and development with regular professional training and opportunities to enhance both technical and soft skills
Exposure to cutting-edge technologies and diverse real-world enterprise projects
Vibrant company culture with regular team-building activities, sports tournaments, arts events, Family Day, and more
Full compliance with Vietnamese labor laws, plus additional internal perks such as annual company trips, special holidays, and other corporate benefits

How To Apply

Please send your application via email: [HIDDEN TEXT]

5+ years of experience

By submitting your application to [HIDDEN TEXT], you acknowledge that you have read, understood, and agreed to CMC Global's REGULATIONS ON THE PROTECTION OF CANDIDATES PERSONAL INFORMATION.
Years of Experience Required
Required Education Level

Bachelor's Degree

Senior/Tech Lead

Full-time

(Senior/Lead) Data Engineer