Senior Engineer - Đi Làm Sau Tết Âm - Lương Up To 4000$

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

Deep understanding of data modeling techniques (star schema, snowflake schema,data vault).
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.
Proven ability to design scalable, reliable, and secure data architectures.
5+ years of experience in Data Engineering, Backend Engineering, or related roleswith strong focus on data architecture and processing.
Strong problem- solving, collaboration, and communication skills.
Familiarity with modern data storage ecosystems (Snowflake, Hadoop, PostgreSQL).
Experience with distributed data processing frameworks (e.g., Spark, Flink, Kafka)and real- time data streaming systems.
Bachelor’s degree in Computer Science, Data Science, Information Systems, orrelated fields.
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.

Comprehensive health, dental, and vision insurance plans.
Professional development and training programs.
Competitive salary.
Refer friends to open jobs and receive a cash bonus for every successful referral you make.
Performance- based bonuses/ 13th month salary.

Cập nhật gần nhất lúc: 2025-12-03 06:30:03