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Senior Data Engineer Python, ETL

Vortech Service Company Limited · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận Phú Nhuận, Hồ Chí Minh, Hồ Chí Minh

Overview

  • For one of our clients, we are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering, with expertise in Python, ETL tools, Airflow, and Hadoop. You will be responsible for building, maintaining, and optimizing data pipelines that handle high-volume transactions exceeding 50 million per day.
  • If you're excited about solving challenging problems, delivering polished user experiences, and contributing to a fast-paced and innovative environment, we’d love to meet you.
  • Design, develop, and maintain scalable data pipelines and data models for large transaction systems.
  • Utilize Python and ETL tools to extract, transform, and load data efficiently from various sources.
  • Implement and manage workflows using Apache Airflow to automate data processing tasks.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality and availability.
  • Optimize data processing performance and reliability in a Hadoop environment. ● Monitor and troubleshoot data pipeline issues to ensure operational efficiency and reliability.
  • Document processes, data flow, and architecture for future reference and compliance. ● Stay current with industry trends and emerging technologies in data engineering.
  • Your Skills and Experience
  • MUST HAVE
  • 5+ years of experience in data engineering role.
  • Strong proficiency in Python for data processing and manipulation.
  • Hands-on experience with ETL tools (e.g., Talend, Informatica, Apache NiFi).
  • In-depth knowledge of Apache Airflow for workflow management.
  • 3+ years of hands-on experience with Spark
  • Strong experience working with Kafka/Flink
  • Experience with big data technologies such as Hadoop and its ecosystem (e.g., HDFS
  • Proven experience in building and maintaining big transaction systems (handling over 50 million transactions per day).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Why You'll Love Working Here
  • A supportive and flexible working environment
  • Macbook provided
  • Premium health insurance
  • SHUI contributions which comply with local laws

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