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About the Role
Assurity Trusted Solutions (ATS), a subsidiary of the Government Technology Agency (GovTech), is seeking a Data Engineer to design, implement, and maintain scalable data solutions. This role involves collaborating with cross-functional teams to build data-driven products and support data consumers.
Responsibilities
- Design, implement, and maintain scalable data pipelines and ETL processes.
- Create and manage APIs for data access, integration, and delivery.
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
- Structure and document data transformation processes for efficiency and maintainability.
- Lead data modelling efforts to align data architecture with business goals.
- Configure, curate, and maintain the central data catalog or metadata repository.
- Implement data governance best practices and ensure regulatory compliance.
- Collaborate with Project Manager, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
- Support data consumers in subscribing to and using approved data products.
- Develop backend APIs and work on databases to support applications.
- Work in an Agile Environment that practices Continuous Integration and Delivery.
Requirements
- At least 3 years of experience as a Data Engineer, with a proven track record of designing and deploying large-scale data solutions.
- Strong proficiency in programming languages, particularly Python, PySpark and SQL derivatives (MySQL, NoSQl, etc.).
- Experience working with structured, semi-structured, and unstructured data.
- Experience with AWS ETL and orchestration tools such as AWS MSK (Kafka), Firehose, SNS, Airflow or equivalent.
- Extensive knowledge of data modelling, data access and data storage infrastructure like Data Lake (both SQL and NoSQL) and Data Warehouses (e.g., AWS S3, AWS Redshift, AWS Athena, BigQuery, RDBMs, NoSQL DBs).
- Knowledge of open table formats such as Apache Iceberg, Parquet etc.
- Familiarity with data mesh principles, domain ownership, data product thinking and federated governance.
- Familiarity with Big Data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP).
- Solid understanding of data architecture concepts, data lakes, data marts, data catalog, data governance, metadata management and RBAC/ABAC models.
- Exceptional analytical and problem-solving skills.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills and experience working with stakeholders at various levels.
- Ability to mentor and guide team members in best practices and new technologies.
Skills
- Python
- PySpark
- SQL
- MySQL
- NoSQL
- AWS ETL
- AWS MSK (Kafka)
- Firehose
- SNS
- Airflow
- Data Modelling
- Data Lake
- Data Warehouses
- AWS S3
- AWS Redshift
- AWS Athena
- BigQuery
- RDBMs
- Apache Iceberg
- Parquet
- Data Mesh
- Hadoop
- Spark
- AWS
- GCP
- Data Catalog
- Data Governance
- Metadata Management
- RBAC
- ABAC
Work Type
- Agile Environment
Experience Level
- 3 years of experience as a Data Engineer
Benefits
- Annual Leave Benefits
- Family Care Leave
- Birthday Leave
About the Company
- Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech).
- ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes.
- ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.
Equal Opportunity
- By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.
- We promote a learning culture and encourage you to grow and learn.