Middle Data Engineer

Lương: Thương lượng

Địa điểm: TẬP ĐOÀN SUN GROUP

Phòng ban: CNTT

Hạn nộp hồ sơ: 07/08 — 30/11/2025

Mô tả công việc

Key Responsibilities:

- Design, build, and optimize scalable and resilient data pipelines to ingest data from multiple sources.

- Develop and maintain robust ETL/ELT processes to clean, transform, and integrate data into enterprise-grade data lakes and warehouses.

- Implement data scoring frameworks (Data Green Score & Quality Score) to measure completeness, consistency, and timeliness across shared datasets.

- Manage and maintain large-scale storage systems, ensuring data integrity, performance, and accessibility across teams.

- Collaborate with Data Scientists, Backend Engineers (including the Lead BE), and Product Owners to understand data requirements and translate them into effective data engineering solutions.

- Provide technical leadership and mentorship to other Data Engineers (DE #1, DE #2) within the team.

- Drive the technical strategy for data ingestion, processing, and integration related to the CDP and Loyalty systems, in collaboration with the Head/PO and Enterprise Architects.

- Ensure data engineering solutions adhere to data governance, security, and compliance requirements.

- Evaluate and recommend new data engineering technologies, tools, and methodologies to enhance our capabilities.

Job requirements

- Bachelor‘s or Master‘s degree in Computer Science, Engineering, or a related technical field.

- Minimum 4+ years of extensive hands-on experience in data engineering

- Proven expertise in designing and building large-scale batch and real-time data pipelines using technologies like Spark, Kafka, Airflow, etc.

- Strong proficiency in SQL and programming languages such as Python or Scala.

- Deep experience with Big Data technologies, cloud data platforms (AWS, Azure, GCP), and various database systems (SQL, NoSQL).

- Solid understanding of data modeling principles, data warehousing, data lakes, and data integration patterns.

- Experience with CI/CD practices for data pipelines and infrastructure-as-code is highly desirable.

- Excellent problem-solving, analytical, and technical leadership skills.

- Strong communication skills, with the ability to articulate complex technical designs and decisions.

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