Vietcap Securities

Overview of job

• 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.
• 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.
• 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).
• 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.