Responsibilities:
- 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.
- Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.
Technical Knowledge/Skills/Competencies:
ยท Technical expertise in:
- Relational/non-relational/NoSQL database and enterprise data warehouse/mart.
- Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
- Data ingestion technologies e.g. Flume, Kafka, NiFi etc.; and
- 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.
Soft Skills:
- Excellent written and verbal communications skills.
- Highly organised, motivated, independent and resourceful team player.
- Strong analytical thinking, interpersonal and problem-solving skills; and
- Able to work productively in a matrix reporting and fast-paced environment.
(EA Reg No: 20C0312)
Only shortlisted candidates will be notified.
Please email a copy of your detailed resume to [email protected] for immediate processing.
