Senior Engineer

7 days ago

Bedok, Singapore NLB National Library Board Full time

[What the role is]

As a member of the Enterprise Services (ES) team within the Archives and Enterprises Services (AES) Division, the jobholder will be responsible for designing, developing, and maintaining the systems and data infrastructure required for efficient and reliable data processing, storage, and analysis. He/she plays a crucial role in building and maintaining the data pipelines and platform that enable NLB to collect, transform and analyse large volumes of data to meet both current and future needs of NLB business services, thereby contributing to the vision and mission of NLB.

[What you will be working on]
- Data Architecture Design: Collaborating with NLB solution architects, Data Management Platform awarded vendor and other stakeholders to understand data requirements and designing scalable and efficient data architectures.
- Data Management: Working closely with the vendor to set up and manage Databases and Data Lake, including selecting appropriate database technologies, optimizing query performance, and ensuring data integrity and security.
- Data Integration: Working closely with the vendor to integrate data from different sources to create a unified and consistent view of the data for analysis and reporting purposes.
- Data Transformation and Manipulation: Working closely with the vendor to perform data transformations, such as masking, aggregations, joins, and filtering, to meet the specific requirements of data analysis and reporting.
- Data Quality and Governance: Implementing data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data. Establishing data governance practices and standards to maintain data integrity and compliance with regulations.
- Monitoring and Troubleshooting: Monitoring data pipelines and systems to identify and resolve issues related to data ingestion, processing, or storage. Performing troubleshooting and debugging tasks to maintain data pipeline reliability.
- Collaboration and Documentation: Collaborating with vendor and cross-functional teams to understand their data requirements and provide them with the necessary information on the tools and infrastructure. Documenting data engineering processes, configurations, and best practices.

[What we are looking for]
- Relevant IT qualifications or equivalent experience with advanced qualifications.
- At least 2-5 years of relevant technical working experience with data management, RDBMS and ETL.
- Experience in AWS Platform Architecture which includes S3, Data Lake Formation, Glue, Athena, Redshift, Kinesis, etc.
- Proficiency in SQL and Python.
- Knowledge of the various Data Management Tools such as Databrick, Data pipes and or Snowflake is an advantage.
- Knowledge in various data analytics tools like Qlik Sense, Tableau, etc is an advantage.
- Able to communicate with all levels to manage relevant stakeholders and a good team player.

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