Mô tả công việc

• Design, create and maintain optimal data pipeline architecture
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and AWS ‘big data’ technologies or Google Big Query
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Perform the data preparation for data model (data cleansing, data aggregation)
• Design and develop reliable, stable, and effective data marts to support business.
• Create ETL jobs and data pipelines
• Monitoring data quality to meet SLA
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Yêu cầu công việc

Educational Qualifications
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, prioritizing graduating from Technology Universities, FPT University or other Tech University.

Professional Knowledge

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including SQL and NoSQL databases
• Hands-on experience with SQL database design
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, etc.
• Experience with build processes supporting data transformation, data structures, metadata, dependency and workload management.

Relevant Experience

• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Good logical thinking, hard-working, positive attitude, good communication skills.