Position:

Location: Sydney, Australia

Work Mode: Onsite / Onshore

Domain: BFSI (Mandatory)

We are looking for a Snowflake Data Engineer with hands-on experience in cloud data warehousing, ETL/ELT pipelines and data integration. The candidate must have prior experience working in the BFSI domain, preferably on banking, financial services or insurance data platforms.

Key Responsibilities:

- Develop and maintain data pipelines using Snowflake.
- Write complex SQL queries and optimise database performance.
- Build ETL/ELT workflows for data integration.
- Work with structured and semi-structured data.
- Perform data transformation, validation and quality checks.
- Integrate data from multiple banking and financial systems.
- Collaborate with analytics and engineering teams.
- Required Skills:

- Hands-on experience with Snowflake.
- Robust SQL and data warehousing knowledge.
- Experience with Python.
- Knowledge of ETL/ELT processes.
- Experience with data integration tools.
- Mandatory BFSI domain experience.
- Understanding of banking, financial transactions, risk, compliance or insurance data.
- Preferred Skills:

- SnowPro certification.
- Experience with dbt, Airflow or Informatica.
- Exposure to AWS, Azure or GCP.

📌 Snowflake Data Engineer (Sydney)
🏢 Neuronimbus
📍 Sydney