Data Engineer

3 days ago


Vietnam Chứng khoán Kỹ Thương Full time ₫2,500,000 - ₫7,500,000 per year

As a Data Engineer, you will work closely with data scientists, backend engineers, and product teams to build and optimize our end-to-end data platform. You'll be responsible for architecting and maintaining robust, scalable, and high-performance data pipelines and lakehouse infrastructure to support our analytics, risk models, and customer experiences.

I. Key Responsibilities

  • Design and develop ETL/ELT pipelines for structured and unstructured financial data across internal and third-party systems.
  • Develop and manage large-scale data infrastructure using: Apache Spark, Apache Kafka, Apache Flink, and HDFS
  • Implement data lakehouse architecture using AWS services such as: S3, Glue, EMR, Athena, Kinesis, Redshift, and Lambda
  • Collaborate with analytics, product, and engineering teams to deliver reliable and scalable data solutions for reporting and real-time applications.
  • Collaborate with analytics, ML, and engineering teams to integrate data products into core financial systems.
  • Monitor and improve the performance and reliability of pipelines and data services.

II. Skills & Qualifications

Required

  • 3+ years of experience as a Data Engineer or in a similar backend/data-focused engineering role.
  • Proficient in Python, with working knowledge of Java or Scala.
  • Solid understanding of distributed data processing and streaming architectures.
  • Strong experience with big data tools (Spark, Kafka, Flink, Hive, etc.).
  • Production experience with AWS data stack (S3, Glue, EMR, Kinesis, Redshift, Athena).
  • Strong SQL skills and experience with data modeling and data warehousing concepts.
  • Familiarity with CI/CD, Docker, Git, and automation in data workflows.

Nice to Have

  • Experience with open data lakehouse formats: Apache Iceberg, Delta Lake, Apache Hudi
  • Hands-on experience with Databricks or Snowflake
  • Familiarity with data cataloging, data lineage, and governance tools (e.g., AWS Glue, Apache Atlas, Great Expectations).
  • Fintech domain knowledge (payments, risk, lending, compliance) is a strong plus.

Send your CV/Resume to: [email protected]


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