Senior Data Engineer: Cloud Pipelines & Data Governance (CBD)

maestro human resource pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

5 day work week

CBD area office

Job summary

Maestro HR is seeking a Senior Data Engineer to translate business data requirements into technical specifications and build data ingestion pipelines across multiple sources. You will collaborate with IT teams on architecture, security, and governance to ensure scalable, compliant data infrastructure.

You will design, develop, and maintain batch and real-time data pipelines, monitor ETL systems, and drive data quality, security, and access controls within the data warehouse.

Qualifications

• Bachelor’s degree in CS/SE/IT or related field.
• Strong understanding of system design, data structures, databases.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with Databricks.
• Experience building batch and real-time data pipelines.
• Experience with Airflow and Azure Data Factory.
• Proficiency in Python, Shell, and SQL.

Responsibilities

• Architect and build data ingestion pipelines to collect, clean, merge, and harmonize data from multiple sources.
• Monitor and maintain databases and ETL systems, ensuring uptime and performance.
• Design and implement data models and secure access to data in the warehouse.
• Establish and enforce data governance policies and best practices.
• Maintain data catalog, metadata, and lineage.

Skills

Data engineering

Cloud platforms

Python

SQL

ETL pipelines

Data modeling

Airflow

Data governance

Education

Bachelor’s degree in Computer Science or related

Tools

Databricks

Airflow

Azure Data Factory

Terraform

Docker

Git

Job description

Maestro HR is seeking a Senior Data Engineer to translate business data requirements into technical specifications and build data ingestion pipelines across multiple sources. You will collaborate with IT teams on architecture, security, and governance to ensure scalable, compliant data infrastructure.

You will design, develop, and maintain batch and real-time data pipelines, monitor ETL systems, and drive data quality, security, and access controls within the data warehouse.