Senior Data Engineer (Python, ETL)

Vortech Service Company Limited

Ứng tuyển

The Hallmark Building, 15 Tran Bach Dang Street, An Khanh Ward, Ho Chi Minh City, An Khánh, TP Hồ Chí Minh

Tại văn phòng

Đăng 5 giờ trước

Kỹ năng:

Data Engineer Kafka Spark Apache Airflow ETL Python

Chuyên môn:

Kỹ sư Dữ liệu

Lĩnh vực:

Thuê Ngoài Phát Triển Phần Mềm

Mô tả công việc

Job Summary:

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.

Key Responsibilities:

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.

Yêu cầu công việc

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.