Data Engineer
Taipei
BTSE
BTSE is a leading, trusted cryptocurrency exchange that offers over 150 cryptocurrencies for both spot and futures trading. As the go-to exchange for all things crypto, BTSE is the top choice for institutions, retail users, and first-time...About the Opportunity:We're seeking a highly motivated and experienced Data Engineer to join our growing team at BTSE. You will play a critical role in designing, implementing, and maintaining our data infrastructure, with a focus on cloud-based solutions. You will work closely with the Senior Data Engineer to ensure the efficient and reliable delivery of data to support various business needs.
Key Roles & Responsibilities:
- Design, implement, and maintain data infrastructure, including cloud-based solutions (AWS preferred).
- Develop and optimize ETL pipelines for performance, scalability, and reliability.
- Collaborate with the Senior Data Engineer to ensure data quality and integrity.
- Explore options to upgrade and replace existing systems to improve efficiency and reduce manual effort.
- Proactively identify and resolve data-related issues.
- Stay up-to-date with the latest data engineering technologies and best practices.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5-8 years hands on experience in cloud technology and data engineering.
- Working experience in GIT, GitLab
- Strong knowledge of database design principles, backup and recovery strategies, security best practices, and performance tuning techniques.
- Proficiency in database management systems such as MySQL, PostgreSQL, Oracle, or SQL Server.
- Solid experience with cloud-based database services (e.g., AWS RDS, Azure SQL Database) is preferred.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- (Mandatory) : Able to independently hit the ground running with development tasks.
Qualifications:
- 3+ years of experience in data engineering or a related field.
- Strong understanding of data warehousing concepts and best practices.
- Extensive experience with cloud-based data platforms (AWS preferred, including S3, Redshift, EC2, etc.).
- Proficiency in SQL and at least one scripting language (e.g., Python).
- Experience with ETL tools and frameworks (e.g., Apache Airflow).
- Excellent communication and collaboration skills.
Bonus Points:
- Experience with data visualization tools (e.g., Tableau).
- Familiarity with Agile development methodologies.
Perks & Benefits
- Competitive total compensation package
- Various team building programs and company events
- Comprehensive healthcare schemes for employees and dependants
- And many more! Apply and let us tell you more!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Azure Computer Science Crypto Data quality Data visualization Data Warehousing EC2 Engineering ETL Finance Git GitLab MySQL Oracle Pipelines PostgreSQL Python Redshift Security SQL Tableau
Perks/benefits: Competitive pay Team events
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