Requirements:
- Relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
- Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
- Good knowledge and experience in programming languages such as Python, Java, SQL etc.
- Familiarity with data virtualization tool such as Denodo is advantageous.
- Able to design and implement solution, and perform code review.
Responsibilities:
- Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
- Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
- Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
- Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
- Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
Kindly indicate 106 – Data Engineer
Interested applicants may send in their detailed resumes in MS Word to Meme @ [email protected]
IT Consultancy & Services Pte Ltd
EA No: 92C5311 | EA Reg No. R23116792 | www.itcspl.com
