Data Engineer

CareCone Group; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

CareCone Group in Singapore seeks a data engineer to build scalable ETL pipelines in Databricks, write optimized SQL, and collaborate with analysts to translate reporting needs into solutions.

You'll develop analytics reports and dashboards, implement data quality checks, and optimize data models in cloud environments like Azure or AWS, with emphasis on documentation and maintainability.

Qualifications

• Experience building scalable ETL pipelines in Databricks.
• Strong SQL skills for data preparation and analytics.
• Experience delivering dashboards with BI tools (Power BI/Tableau/Looker).

Responsibilities

• Build and maintain scalable ETL pipelines in Databricks to process and transform large datasets from multiple sources.
• Write optimized SQL queries to prepare datasets for analytics and reporting.
• Collaborate with analysts and business stakeholders to understand reporting needs and translate them into technical solutions.
• Develop and automate analytics reports and dashboards using tools such as Power BI, Tableau, or Looker.
• Implement data quality checks and monitoring to ensure accuracy and reliability.
• Optimize data models for performance and scalability in cloud environments such as Azure or AWS.
• Document data flows, transformations, and reporting logic for transparency and maintainability.
• Print domain experience would be an added advantage.

Skills

ETL pipelines

Databricks

SQL

Data modeling

Cloud platforms

Data quality

Documentation

Dashboard tooling

Tools

Power BI

Tableau

Looker

Job description

• Build and maintain scalable ETL pipelines in Databricks to process and transform large datasets from multiple sources.
• Write optimized SQL queries to prepare datasets for analytics and reporting.
• Collaborate with analysts and business stakeholders to understand reporting needs and translate them into technical solutions.
• Develop and automate analytics reports and dashboards using tools such as Power BI, Tableau, or Looker.
• Implement data quality checks and monitoring to ensure accuracy and reliability.
• Optimize data models for performance and scalability in cloud environments such as Azure or AWS.
• Document data flows, transformations, and reporting logic for transparency and maintainability.
• Print domain experience would be an added advantage.