Junior Data Engineer - Offer Cực Tốt

Help implement data storage solutions and databases.
Assist in developing and maintaining ETL processes and data pipelines.
Collaborate with senior team members to understand and implement data models and schemas.
Assist in integrating various data sources into our data ecosystem.
Help optimize SQL queries and improve data retrieval processes.
Assist in documenting data processes, pipelines, and architectures.
Participate in the implementation of data governance policies.
Learn and apply best practices in data engineering and cloud technologies.
Contribute to data quality assurance processes.
Support the data science team by preparing datasets for analysis and machine learning models.

01 hour paid leave per day for women having children under 12 months
Social insurance, health insurance, unemployment insurance and Bao Viet care insurance;
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks;
Work performance review 2 times/ year (in April and October);
01 day remote work per month; A flexitime allowance of 90-180 minutes per month for employees.
Incentives, 13th- month salary, public holidays bonus (2/9, 30/4, 1/5, 1/1); bonus for Excellent Employee and Excellent Team;
Minimum 14 paid leaves per annum for all employees after probation;
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset;
Yearly company trip and year-end party, quarterly team building and weekly eating together; English - Japanese Club, Sports Clubs;
Men’s Day, Women’s Day, Children’s Day, Mid-Autumn Festival and other benefits under the provisions of the company;
Training courses and working opportunities with technical gurus who built and operated world-class applications with millions of users. This might be a good chance for graduated students to learn cutting-edge technologies and how to build scalable system from scratch;

Must have:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Basic programming skills in Python or Java.
Familiarity with SQL and relational databases.
Eagerness to learn new technologies and solve complex problems.
Basic understanding of data warehousing concepts.
1-2 years of experience in data engineering or related roles (internships count).
Good communication skills and ability to work in a team environment.
Attention to detail and a methodical approach to work.
Nice to have:
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Experience with version control systems (e.g., Git).
Knowledge of big data technologies (e.g., Hadoop, Spark).
Basic understanding of data visualization tools (e.g., Tableau, Power BI).
Exposure to agile development methodologies.