← Vortech Service Company Limited
Senior Data Engineer Python, ETL
Vortech Service Company Limited · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận Phú Nhuận, Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- 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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