Data Engineer
CÔNG TY TNHH CLOUD ACE
384 Hoàng Diệu, Phường 6
Hết hạn
Xóa tin
Chi tiết tuyển dụng
Mức lương:
Thỏa thuận
Khu vực:
Hồ Chí Minh
Chức vụ:
Nhân viên
Hình thức làm việc:
Bán thời gian
Lĩnh vực:
Khác
Mô tả công việc
We're searching for a driven and eager Junior Data Engineer in Ho Chi Minh City to join our team on a full-time basis for a high-impact project with a key client in the banking sector. In this role, you'll be a key player in building the data pipelines that fuel insightful dashboards and reporting. You'll have the opportunity to hone your skills in data extraction, transformation, and loading (ETL) processes using cutting-edge technologies. If you're passionate about data engineering and eager to contribute to a project that makes a real-world difference in the banking industry, we encourage you to apply!
WHAT WILL YOU DO:
Collaborate on data warehousing solutions: You'll work alongside experienced data engineers to design and implement scalable data models within BigQuery, ensuring data consistency and integrity for insightful reporting and analysis.
Apply your analytical and problem-solving skills: You'll leverage your understanding of math and algorithms to tackle real-world data challenges, optimizing data pipelines for performance and efficiency.
Build efficient data pipelines: You'll be hands-on in developing and optimizing data extraction, transformation, and loading (ETL) processes using SQL, BigQuery, and Airflow, ensuring data is delivered reliably and accurately for our banking client's project.
Contribute to a culture of learning and innovation: You'll have the opportunity to expand your knowledge of data engineering best practices, explore new technologies, and contribute to the continuous improvement of our data infrastructure.
WHAT WILL YOU DO:
Collaborate on data warehousing solutions: You'll work alongside experienced data engineers to design and implement scalable data models within BigQuery, ensuring data consistency and integrity for insightful reporting and analysis.
Apply your analytical and problem-solving skills: You'll leverage your understanding of math and algorithms to tackle real-world data challenges, optimizing data pipelines for performance and efficiency.
Build efficient data pipelines: You'll be hands-on in developing and optimizing data extraction, transformation, and loading (ETL) processes using SQL, BigQuery, and Airflow, ensuring data is delivered reliably and accurately for our banking client's project.
Contribute to a culture of learning and innovation: You'll have the opportunity to expand your knowledge of data engineering best practices, explore new technologies, and contribute to the continuous improvement of our data infrastructure.
Quyền lợi được hưởng
Competitive salary
Working time within 3-4 months (depending on the project).
Preference is to work in the office. If that’s not possible, hybrid work will be considered
Free parking
Working time within 3-4 months (depending on the project).
Preference is to work in the office. If that’s not possible, hybrid work will be considered
Free parking
Yêu cầu kỹ năng
Intermediate analytical and problem-solving skills: You enjoy tackling data challenges, identifying patterns, and developing efficient solutions.
Solid foundation in SQL: You're comfortable writing complex queries, understanding database structures, and optimizing query performance.
Eagerness to learn and work with Airflow: You're excited to dive into workflow orchestration, automating data pipelines, and ensuring their smooth operation.
Familiarity with BigQuery: You have a basic understanding of BigQuery's architecture, capabilities, and best practices for data warehousing.
Efficient communication and collaboration skills: You thrive in a team environment, effectively communicating technical concepts and collaborating on solutions.
Solid foundation in SQL: You're comfortable writing complex queries, understanding database structures, and optimizing query performance.
Eagerness to learn and work with Airflow: You're excited to dive into workflow orchestration, automating data pipelines, and ensuring their smooth operation.
Familiarity with BigQuery: You have a basic understanding of BigQuery's architecture, capabilities, and best practices for data warehousing.
Efficient communication and collaboration skills: You thrive in a team environment, effectively communicating technical concepts and collaborating on solutions.
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