Puzzle Studio 1.6 ★

RESPONSIBILITIES:

What our projects are about: We design, develop and maintain Enterprise BI/Data Warehouse/Data Lake for clients in various domains. Depending on our availability and your suitability, you may be assigned to projects with English-speaking or Vietnamese-speaking clients, on-premises or cloud technologies etc. You will work with the following roles: Project Manager, Data Architect, Data Analyst, Data Scientist.

• Build optimal data pipelines: Ingestion, Processing, Cleansing and Transformation, Visualization ... Data governance and security.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various technologies (ex: Apache spark, Apache flink, Apache Nifi, Apache Kafka, Hadoop, Minio, K8S/Docker, Trino, IceBerg...).
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
• Collaborate with clients and internal cross-functional teams including the Executive, Product, Data, and Business teams
• Work with data and analytics experts to strive for greater functionality in our data systems
• Collaborate with Devops team to deploy data projects as per project requirements

QUALIFICATIONS:

• At least 4-5 years experience in Data Engineer
• Experience in leading Data team
• Experience in Software Engineering
• Proven track in building team of Data Engineer
• Proficient in one of the programming languages Java, Scala, Python and must have a firm grasp of key concepts in programming languages such as: multi-threaded programming, synchronization, database processing, file processing, logging, basic data processing algorithms, data testing ...
• Experience with RDBMS (SQL Server, MySQL, PostgreSQL); Linux (bash scripts, firewall,…); Git, Kafka, Spark, Hadoop, Airflow
• Knowledge of test, document in the projects you have done
• Efficient consulting skill

Preferred:

• Monitoring, Logging: ELK Stack, Grafana;
• Experience with NoSQL Database (MongoDB, Neo4J, Cassandra), Backend (Spring, FastAPI, Akka)
• Ability to design architectures; model for a systems in level average.

BENEFITS AND PERKS:

• Salary: max 40M for senior level, min 40M for lead level
• Working time: 8:00-17:30 (off 1.5h from 12h to 13h30 for lunch) from Monday to Friday
• Flat structure
• Salary review twice a year
• Friendly, supportive and transparent environment – We notice and celebrate our team members’ accomplishments monthly
• 13th month salary, annual heath-check, insurance under Vietnamese Labor Law, monthly teambuilding
• BIC health insurance package
• Psychological safety; Your ideas are always welcomed.