SENIOR DATA ENGINEER (DATABRICKS)

• Develop and maintain an efficient and scalable data pipeline that retrieves data from various data sources to meet diverse business needs.


• Utilize Big Data technologies such as Databricks, Hadoop, Kafka, Spark, Airflow, etc., to design and implement a big data management system and other services.


• Implement best practices in data modeling, ETL processes, data integration, and data governance, ensuring the accuracy and reliability of data.


• Collaborate with cross-functional teams to comprehend data requirements and implement tailored solutions.


• Work closely with data scientists, data analysts, and other stakeholders to understand their data needs and provide technical solutions.


• Troubleshoot and optimize existing data pipelines to enhance performance and reliability.


• Stay informed about industry trends and emerging technologies to continually improve our data infrastructure.

• Bachelor's degree in Computer Science, Software Engineering, or related fields.


• Have 3+ years of experience as a Data Engineer.


• Proficient in either Python or Java programming language.


• Proficient in database query languages such as SQL and NoSQL.


• Knowledge of storage programming, distributed data processing, and big data technologies (Databricks, Hadoop, Spark, Kafka, Airflow, etc.).


• Understanding of building and optimizing data processing flows (batch and stream processing).


• Possession of international certifications in Data Engineering (AWS, CCA, CCP, IBM Certified Data Engineer, Google Professional Data Engineer, Databricks Certified Data Engineer Professional) is an advantage.


• Familiarity with version control tools such as Git.


• Candidates with finance and securities knowledge is also a plus.


• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.


• Ownership and team-first mindset with strong responsibility.

• Competitive Income.
• Attractive Bonus’s Policy.
• Salary: attractive remuneration package.
• Opportunity for promotion and career development.
• Compulsory Insurance & full salary (Social Insurance, Health Insurance, Unemployment Insurance) based on the Labor Code and PVI premium health Insurance based on the Company & regulations.
• 11 Public holidays based on the Labor Code, 15-22 Annual leave days based on the Company & regulation, 5-year-employee has 1 more annual leave day.
• Company Team Building Trip every year.
• Participate in other Company activities: Sports, Family Day, Children & Day.
• Training sponsorship programs: Securities certificates, Soft skills, Technical skills.
• Professional and dynamic working environment.
• Working time: 5 days/week (Monday to Friday).

Cập nhật gần nhất lúc: 2024-04-03 11:46:29