Data Engineer (Major Bank)

Cornerstone Global Partners; Hong Kong; On-site; HKD 450,000 - 650,000; Full time

Job summary

Cornerstone Global Partners is seeking a data engineer to design, build, and maintain scalable data pipelines and ETL processes. You will work with data scientists and analysts to understand data needs and deliver actionable insights.

The role requires expertise in SQL, relational databases, and data warehousing, with hands-on experience in Spark and Kafka. Collaboration with stakeholders and strong data governance will be essential.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or similar roles, preferably in banking/finance.
• Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL).
• Familiarity with data warehousing (AWS Redshift, Google BigQuery).
• Experience with ETL tools (NiFi, Talend, Informatica).
• Programming languages for data manipulation (Python, Java, Scala).
• Experience with data processing frameworks (Spark, Kafka).

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Manage and optimize databases for storage, retrieval, and security.
• Collaborate with data scientists, analysts, and stakeholders to deliver insights.
• Implement data quality checks and monitoring for data accuracy.
• Maintain documentation of data architecture, pipelines, and processes.

Skills

SQL

Python

Java/Scala

Spark

Kafka

Education

Bachelor’s degree in CS/IT

Tools

NiFi

Talend

Informatica

Job description

Design, build, and maintain scalable data pipelines and ETL processes to collect, process, and transfer data from various sources.

Manage and optimize our databases to ensure efficient data storage, retrieval, and security.

Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.

Implement data quality checks and monitoring to ensure accuracy and integrity of data.

Maintain comprehensive documentation of data architecture, pipelines, and processes.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or a related field.

3+ years of experience in data engineering or similar roles, preferably in the banking or financial sector.

Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).

Familiarity with data warehousing solutions (e.g., AWS Redshift, Google BigQuery).

Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).

Knowledge of programming languages (e.g., Python, Java, Scala) for data manipulation and transformation.

Experience with data processing frameworks (e.g., Apache Spark, Apache Kafka).