Vũ Quang Huy
Ứng tuyển thành công vị trí
Kỹ sư dữ liệu
CT GROUP
Negotiation
Ho Chi Minh City
07/31/2025
1
Design and implement Data Lakehouse architecture on Azure using Azure Data Lake Storage Gen2, Delta Lake, Azure Synapse, or Databricks.
Develop data processing pipelines (ETL/ELT) from various sources (on-premise, cloud, streaming, APIs, files, etc.).
Collaborate with AI, BI, and DevOps teams to integrate data into analytics applications, machine learning models, or intelligent reporting systems.
Optimize the performance of large-scale data storage and query systems (big data), ensuring cost-effectiveness and scalability.
Implement data quality checks, metadata management, and data lineage processes.
Work with infrastructure teams to operate secure data systems, adhering to security protocols and internal regulations.
Write technical documentation and support knowledge transfer and operations for product and analytics teams.
Education & Experience
Bachelor’s degree in Information Technology, Data Science, Information Systems, or equivalent.
Minimum of 3 years of experience as a Data Engineer or equivalent role.
Experience in implementing data infrastructure on Azure Cloud, with preference for proficiency in:
Proficient in SQL, Python, or PySpark, with a strong understanding of distributed computing.
Experience with data models such as Star Schema, Snowflake Schema, Lakehouse Architecture, or Delta Lake.
Preference for candidates with experience in large-scale data systems, real-time pipelines, or AI/ML model integration.
Soft Skills
Ability to work independently, proactively, and with a systematic mindset.
Strong collaboration skills with other technical teams (AI, DevOps, Product).
Logical thinking, strong analytical, and problem-solving skills.
Openness to learning new technologies, adapting to change, and experimenting.
Competitive salary based on skills and experience.
Performance-based bonuses and recognition for contributions.
Advanced technical environment with opportunities to work on large-scale data systems and modern AI solutions.
Transparent and professional work culture, supporting long-term career development
Vũ Quang Huy
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