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
· Support data management solutions pre-sales initiatives, proposal development and provide post-sales support
· Work with stakeholders including customers, partners and colleagues to solicit requirements, design, develop, document, manage and maintain data analytic solutions for customers or internal users
· Support data analytics solutions pre-sales initiatives, proposal development and provide post-sales support.
Job Requirements:
· Degree in Computer Science
· At least 6-8 years of related experience in the following:
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
· Knowledge of machine learning, computer vision and large language models will be advantageous.
· Excellent written and verbal communications skills
· Highly organised, motivated, independent and resourceful team player
· Strong analytical thinking, interpersonal and problem-solving skills
· Able to work productively in a matrix reporting and fast-paced environment
Only shortlisted candidates will be notified.
Interested applicants, please send a copy of your resume to [email protected] for immediate processing.
(EA Reg No: 20C0312)
