
SME, Data Engineer
2 days ago
The SME, Data Engineering an integral part of a newly established Data team and will be responsible for leading a team of data SME's for Conducting POC, continuous improvement of data platform and finding new solutions. Primarily the purpose of this role will be to act as a single orchestrator of all engineering activity and overall custodian of the Data technologies across Asia.
Key Responsibilities:
- Own and aggressively
drive forward Solutions
for Data Engineering, Data Governance, Data virtualization & Integration on Cloud and On-premises. - Develop foundation for laying out non-functional qualities in the platform including resiliency, scalability, security, and lineage.
- Drive excellence and ensure continuous improvement in quality of deliverables.
- Conduct POC
in time bound manner for new business problem statements. - Analyze, define, design
and document requirements for data, workflow, logical processes, and operating system environment. - Advise on the available standards, methods, tools and applications relevant to Business Intelligence, Data Analytics and Data Science and can make correct choices from alternatives.
- Design and code solutions on and off databases for ensuring application access to enable data driven decisions.
- Work with Business consumers and IT teams to enable data services for integrating upstream and downstream applications.
- Oversight and accountability for platform monitoring and issue management.
- Accountable for service performance and data quality
Key Requirements
- Practical experience of
5+ years
developing data solutions. - Strong understanding & experience of AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services (core accountability of the role).
- Strong understanding of implementing
multiple Data Programs
viz.
Data
Lakehouse
, Data Warehouse,
Advanced Analytics
, Master Data Management, Data Modelling, Analytics and Virtualization. - Possess a combination of solid business knowledge and technical expertise with strong communication skills.
- Proven experience to work under high pressure environment and supporting/managing multiple teams.
- Skilled to lay out correct implementation strategy of various data programs as per business needs.
- Demonstrate excellent analytical and logical thinking.
- Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.
Good to have.
- Understanding of Insurance Domain
- Good understanding of Master Data Management and Data Governance.
- Good understanding of implementing & architecting data solutions using the AWS components.
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