Data Engineer

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.

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access methods.
• Ensure data quality, consistency, and security across all data platforms.
• Develop and maintain data models, schemas, and data dictionaries.
• Implement data governance policies and procedures.
• Optimize query performance and data retrieval processes.
• Integrate various data sources and APIs into our data ecosystem.
• Automate data workflows and implement monitoring and alerting systems.
• Stay up-to-date with emerging technologies and recommend improvements to our data architecture.

Compensation & Benefits

• Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
• Work performance review 2 times/ year (in April and October);
• Incentives, 13th- month salary, public holidays bonus (2/9, 30/4, 1/5, 1/1); bonus for Excellent Employee and Excellent Team;
• Social insurance, health insurance, unemployment insurance and Bao Viet care insurance;
• 01 hour paid leave per day for women having children under 12 months
• 01 day remote work per month; A flexitime allowance of 90-180 minutes per month for employees.
• 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;
• 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;
• Flat, open and sharing culture with friendly management team; outsourcing company with product mindset;
• 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;

Requirements

Must have:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or similar roles.
• Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku, Snowflake)
• Strong programming skills in Python, Scala, or Java.
• Extensive experience with SQL, NoSQL, Vector databases
• Experience with ELT/ETL open source frameworks (DBT, Fivetran)
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with data modeling, data warehousing concepts, and dimensional modeling.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.

Nice to have:

• Experience with streaming data processing (e.g., Kafka, Flink).
• Knowledge of machine learning pipelines and MLOps practices.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with data governance and compliance requirements (e.g., GDPR, CCPA).
• Experience with database migration projects
• Certifications in relevant data platforms or cloud technologies (AWS, GG, Azure, Databrick, Dataiku)