Data Engineer with Data Build Tool

RAPSYS TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology firm in Singapore is looking for a skilled Data Engineer to design and implement scalable data models and transformation pipelines using DBT on Snowflake. The ideal candidate will have over 3 years of experience and strong hands-on skills with PL/SQL. This role involves collaboration with data analysts and stakeholders to deliver high-quality solutions and optimize performance. Competitive package offered.

Qualifications

• 3+ years of experience in data engineering or a related field.
• Strong hands-on experience with DBT.
• Proficiency in Snowflake and advanced knowledge of PL/SQL.

Responsibilities

• Design and implement scalable data models and transformation pipelines using DBT.
• Write efficient PL/SQL code for complex data processing tasks.
• Collaborate with data analysts and business stakeholders.

Skills

Data modeling

Snowflake performance tuning

PL/SQL coding

CI/CD pipelines

Tools

DBT

Snowflake

Git

Airflow

Job description

Responsibilities

• Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
• Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Optimize Snowflake performance through query tuning, clustering, and resource management.
• Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
• Participate in code reviews, architecture discussions, and continuous improvement initiatives.
• Maintain and enhance CI/CD pipelines for DBT projects.

Required Qualifications

• 3+ years of experience in data engineering or a related field.
• Strong hands-on experience with DBT (modular SQL development, testing, documentation).
• Proficiency in Snowflake (data warehousing, performance tuning, security).
• Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages.
• Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
• Experience with version control systems (e.g., Git) and CI/CD practices.
• Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.