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

• 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.

• 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.

• 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.