Job Description
- Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;
- Work closely with data scientists to solicit data requirements to support modeling works;
- Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
- Define, monitor and report SLAs for data pipelines and data products;
- Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;
- Drive/execute data quality assurance practices; and
- Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.
Technical Knowledge/Skills/Competencies
- Technical expertise in:
o Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
o Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.;
o Data ingestion technologies e.g. Flume, Kafka, NiFi etc.; and
o Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
- Experience in master data management, data governance, data lifecycle management etc.;
- Experience in designing, documenting, implementing and supporting data management solutions;
- Experience in using software engineering best practices in development, programming, testing, version control etc.;
- Knowledge of data privacy and security assurance; and
- Knowledge of machine learning, computer vision and large language models will be advantageous.
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to [email protected] for immediate processing.
Only shortlisted candidates will be notified.
