Mô tả công việc
Design and architect Data Warehouse, Data Lake, and Data Lakehouse solutions
to support enterprise-scale analytics and reporting needs.
Build, optimize, and monitor ETL/ELT pipelines (batch and streaming) to process
large volumes of data from multiple internal and external sources.
Integrate and manage data from diverse platforms, including databases, APIs, third-party
services such as PostgreSQL, Redis, and Snowflake.
Implement and maintain high-performance data storage and processing solutions
(Spark, Hadoop ecosystem, Snowflake, PostgreSQL).
Use Pandas and Python Dash to design analytical workflows and build interactive
dashboards for visualization and reporting.
Ensure data integrity, security, and compliance with industry standards and
regulations (GDPR, ISO 27001, SOC 2).
Optimize query performance and reduce infrastructure costs without compromising
data quality or reliability.
Provide clean, complete, and timely datasets to support
Data Analysts, Data
Scientists, and business stakeholders.
Propose and lead data infrastructure improvements for scalability, performance,
and cost optimization.
Collaborate with cross-functional teams to align data architecture with business
and product strategies.
Yêu cầu
Bachelor's degree in Computer Science, Data Science, Information Systems, or
related fields.
5+ years of experience in Data Engineering, Backend Engineering, or related roles
with strong focus on data architecture and processing.
Advanced proficiency in SQL and at least one programming language for data processing
(Python or Java).
Strong hands-on experience with Pandas, Redis, PostgreSQL, and Python Dash.
Experience with distributed data processing frameworks (e.g., Spark, Flink, Kafka)
and real-time data streaming systems.
Deep understanding of data modeling techniques (star schema, snowflake schema,
data vault).
Familiarity with modern data storage ecosystems (Snowflake, Hadoop, PostgreSQL).
Proven ability to design scalable, reliable, and secure data architectures.
Strong problem-solving, collaboration, and communication skills.
Desired Skills, Traits, and Qualities:
Previous experience with enterprise-scale data platforms and analytics-driven
applications.
Proven track record of delivering end-to-end data engineering solutions in
fast-paced environments.
Passion for data quality, governance, and architecture excellence.
Ability to thrive in collaborative environments, adapt to evolving technologies, and
communicate complex concepts clearly.
Quyền lợi
Competitive salary.
Performance-based bonuses/ 13th month salary.
Comprehensive health, dental, and vision insurance plans.
Professional development and training programs.
Refer friends to open jobs and receive a cash bonus for every successful referral you make.
Thông tin khác
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 08:00 đến 17:30)
Thông tin chung
Nơi làm việc
- - Hà Nội: Tòa nhà Home City, 177 Trung Kính, Phường Cầu Giấy
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 15/01/2026
