As a Senior Data Engineer, you will be working on:
- Translate data requirements from business users into technical specifications.
- Collaborate with partner agency's IT teams on technology stack, infrastructure and security alignment.
- Build out data product as part of a data team:
- Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
- Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning diagnose issues and deploy measures to prevent recurrence ensure maximum database uptime
- Construct, test, and update useful and reusable data models based on data needs of end users.
- Design and build secure mechanisms for end users and systems to access data in data warehouse.
- Research, propose and develop new technologies and processes to improve agency data infrastructure.
- Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
- Maintain data catalogue to document data assets, metadata and lineage.
- Implement data quality checks and validation processes to ensure data accuracy and consistency.
- Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.
What we are looking for:
- A Bachelor's Degree, preferably in Computer Science, Software Engineering, Information
Technology, or related disciplines.
- Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
- Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
- Experience with Databricks.
- Experience in designing, building, and maintaining batch and real-time data pipelines.
- Experience with orchestration frameworks such as Airflow, Azure Data Factory.
- Proficiency in working with Python, Shell Scripts, and SQL.
Preferred requirements:
- Familiarity with building and using CI/CD pipelines.
- Familiarity with DevOps tools such as Docker,Git, Terraform.
- Experience with implementing technical processes to enforce data security, data quality, and data governance.
- Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.
- Experience in Climate and Weather domains will be an advantage.
5 day week @ AMK area
Maestro HR
damien lee tian hong
R1106726
16C8462
