Data Lead Công Ty TNHH CLOUD ACE

Dedicate time to generating new business and pitching clients
Develop and work with the team to establish future-facing insights, implications, and recommendations, delivering advice, making recommendations, and identifying and solving problems
Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates.
Build reports and data visualizations, using data from the data warehouse and other sources.
Implement and monitor best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks
Collaborating with our AI & Business Intelligence teams
Contributing to a data-driven culture
Manage the Data team at Ha Noi

WHAT WE HAVE FOR YOU
Cloud Ace is Google Cloud Premier Partner and Managed Service Provider in Vietnam.
Professional working environment with many attractive training and compensation policies.
Salary: Negotiable
Bonus
13th month salary
Promotion once/year
Insurance base on the Vietnam labor law
Laptop
Yearly vacation
12 full-paid days off..

Have 5 years of experience as a Data Engineer and have 2 years of experience with Google Cloud Platform.
Love of data. You run “SELECT COUNT(SHEEP) FROM BACKYARD” during your sleep!
Proficiency with Python or Java, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools.
Demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as BigQuery, MySQL, and Cassandra.
Understanding data lifecycle concepts and general data manipulation skills: read in data, process and clean it, transform and recode it, merge different datasets together, reformat data between wide and long, etc
Perform one-off data manipulation and analysis on a wide variety of political and organizing data.
Experience working with cloud infrastructure services like Google Cloud is preferred.
Experience building Data lake and Data warehouse solutions.
Demonstrated ability to work independently and be a self-starter.
Demonstrable experience of leading the day-to-day work of a small team
Teamwork spirit
Team management skills
Priority:
ML/AI, MLOps
Business domain knowledge: FSI, Retail
Experience with other the Public Cloud such as AWS, Azure