Job vacancy: Senior Data Engineer
Job Description:
We are seeking a skilled Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. This role is crucial in supporting our data science and analytics initiatives by ensuring efficient data processing, storage, and accessibility.
Develop and maintain data models, schemas, and data dictionaries.
Integrate various data sources and APIs into our data ecosystem.
Stay up- to- date with emerging technologies and recommend improvements to our data architecture.
Ensure data quality, consistency, and security across all data platforms.
Implement data governance policies and procedures.
Design, develop, and maintain scalable data pipelines and ETL processes.
Implement and optimize data storage solutions, including data warehouses and data lakes.
Optimize query performance and data retrieval processes.
Automate data workflows and implement monitoring and alerting systems.
Collaborate with data scientists and analysts to understand data requirements and provide efficient data access methods.
Compensation & Benefits
01 hour paid leave per day for women having children under 12 months
Work performance review 2 times/ year (in April and October);
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Yearly company trip and year- end party, quarterly team building and weekly eating together; English- Japanese Club, Sports Clubs;
Incentives, 13th- month salary, public holidays bonus (2/9, 30/4, 1/5, 1/1); bonus for Excellent Employee and Excellent Team;
01 day remote work per month; A flexitime allowance of 90- 180 minutes per month for employees.
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;
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset;
Social insurance, health insurance, unemployment insurance and Bao Viet care insurance;
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company;
Minimum 14 paid leaves per annum for all employees after probation;
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks;
Requirements
Must have:
Extensive experience with SQL, NoSQL, Vector databases
Proficiency in big data technologies (e.g., Hadoop, Spark, Hive).
Strong problem- solving skills and attention to detail.
Bachelor&039;s or Master&039;s degree in Computer Science, Engineering, or a related field.
Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku, Snowflake)
Experience with data modeling, data warehousing concepts, and dimensional modeling.
Strong programming skills in Python, Scala, or Java.
Experience with ELT/ETL open source frameworks (DBT, Fivetran)
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Experience with version control systems (e.g., Git) and CI/CD pipelines.
5+ years of experience in data engineering or similar roles.
Nice to have:
Experience with data governance and compliance requirements (e.g., GDPR, CCPA).
Experience with database migration projects
Knowledge of machine learning pipelines and MLOps practices.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku)
Experience with streaming data processing (e.g., Kafka, Flink).
