Job Description
- Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
- Work with data scientists to gather data requirements for modeling.
- Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
- Define, monitor, and report SLAs for data pipelines and products.
- Execute data quality assurance practices.
- Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.
Technical Knowledge/Skills/Competencies
- Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
- Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
- Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
- Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
- Experience in master data management, data governance, and data lifecycle management.
- Skilled in designing, documenting, implementing, and supporting data management solutions.
- Familiarity with software engineering best practices (development, programming, testing, version control).
- Knowledge of data privacy and security assurance.
- Understanding of machine learning, computer vision, and large language models is a plus.
(EA Reg No: 20C0312)
Only shortlisted candidates will be notified.
Please email a copy of your detailed resume to [Confidential Information] for immediate processing.
