Data Engineer

Reposted 7 Months Ago
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Taipei
Mid level
Blockchain • Events • Fintech • Payments • Financial Services • Cryptocurrency • Web3
The Role
As a Data Engineer, you will design and maintain data infrastructure, optimize ETL pipelines, and enhance data reliability within cloud environments.
Summary Generated by Built In
About BTSE:
彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market. 

BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.

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.
  • 3+ 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!

#LI-MC1

Top Skills

Apache Airflow
AWS
MySQL
Oracle
Postgres
Python
SQL
SQL Server
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