Senior Engineer - Đi Làm Sau Tết Âm

Build, optimize, and monitor ETL/ELT pipelines (batch and streaming) to processlarge volumes of data from multiple internal and external sources.
Design and architect Data Warehouse, Data Lake, and Data Lakehouse solutionsto support enterprise- scale analytics and reporting needs.
Integrate and manage data from diverse platforms, including databases, APIs, third- partyservices such as PostgreSQL, Redis, and Snowflake.
Ensure data integrity, security, and compliance with industry standards andregulations (GDPR, ISO 27001, SOC 2).
Use Pandas and Python Dash to design analytical workflows and build interactivedashboards for visualization and reporting.
Provide clean, complete, and timely datasets to support Data Analysts, DataScientists, and business stakeholders.
Optimize query performance and reduce infrastructure costs without compromisingdata quality or reliability.
Collaborate with cross- functional teams to align data architecture with businessand product strategies.
Implement and maintain high- performance data storage and processing solutions(Spark, Hadoop ecosystem, Snowflake, PostgreSQL).
Propose and lead data infrastructure improvements for scalability, performance,and cost optimization.

5+ years of experience in Data Engineering, Backend Engineering, or related roleswith strong focus on data architecture and processing.
Advanced proficiency in SQL and at least one programming language for data processing(Python or Java).
Experience with distributed data processing frameworks (e.g., Spark, Flink, Kafka)and real- time data streaming systems.
Strong hands- on experience with Pandas, Redis, PostgreSQL, and Python Dash.
Bachelor’s degree in Computer Science, Data Science, Information Systems, orrelated fields.
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.
Deep understanding of data modeling techniques (star schema, snowflake schema,data vault).
Desired Skills, Traits, and Qualities:
Previous experience with enterprise- scale data platforms and analytics- drivenapplications.
Proven track record of delivering end- to- end data engineering solutions infast- paced environments.
Passion for data quality, governance, and architecture excellence.
Ability to thrive in collaborative environments, adapt to evolving technologies, andcommunicate complex concepts clearly.

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.
Competitive salary.

Cập nhật gần nhất lúc: 2025-11-29 03:55:03