Data Engineer (Python, SQL, Data Analyst)

Top 3 reasons to join us

• Thỏa sức phát triển trong môi trường năng động
• Thời gian check-in linh hoạt
• Chế độ phúc lợi toàn diện

Job description

Data Pipeline Development 

• Develop, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow and integration. 
• Work with structured and unstructured data from various sources. 

Data Management 

• Ensure data integrity, accuracy, and consistency across all data systems. 
• Implement and monitor data quality checks to maintain high standards of data quality. 

Collaboration 

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. 
• Assist in integrating data from different sources into a unified data warehouse. 

Performance Optimization 

• Optimize data processing workflows and database performance. 
• Identify and resolve data-related issues and bottlenecks. 

Documentation 

• Create and maintain documentation for data pipelines, processes, and data models. 
• Ensure all data engineering practices comply with company policies and industry standards. 

Your skills and experience

• Bachelor's degree in computer science, Engineering, or a related field. 
• 2-4 years of experience in data engineering or a related role. 
• Proficiency in programming languages such as Python or Java. 
• Strong experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server). 
• Familiarity with big data technologies (e.g., Hadoop, Spark) and data processing frameworks. 
• Experience with ETL tools (e.g., Talend, Apache Nifi) and data integration processes. 
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. 
• Strong problem-solving skills and attention to detail. 
• Excellent communication skills, both written and verbal. 

Preferred Skills 

• Experience with NoSQL databases (e.g., MongoDB, Cassandra). 
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). 
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). 
• Understanding of machine learning and data analytics concepts. 
• Experience with version control systems (e.g., Git) and CI/CD pipelines. 
• Certification in cloud data services or big data technologies. 

Why you'll love working here

• Probation salary is 100% of the official salary;
• 13th-month salary and performance review twice a year;
• Bonus for special occasions each year (Labor Day, National Day, Solar New year, Lunar New Year);
• Project bonuses
• IT Certificate allowance (AWS/Azure, Outsystems, Salesforce, PMP, Agile/Scrum, ISTQB);
• Enjoy company summer trip and other team building activities held monthly and quarterly;
• Social, health and unemployment Insurance following Government policy;
• BIC Care Health Insurance;
• Work five days per week with flexible check-in time;
• Have chances to gain knowledge on the latest waves of AI, Big Data;
• Professional, creative and dynamic working environment;
• Being fulfilled with experience while learning and joining big projects applying for various business and living sectors;
• Being funded for advanced study and training; enhancing foreign languages such as English, Japanese; improving professional and soft skills with technical seminars and conferences held by known experts from inside and outside the company.