Responsibilities: Data Engineer
Manage data warehouse plans for a business vertical or a group of business verticals.
Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions.
Build data expertise and own data quality for allocated areas of ownership.
Design, build, optimize, launch and support new and existing data models and ETL processes in production.
Conduct design and code reviews.
Define and manage SLA for all data sets in allocated areas of ownership.
Work with data infrastructure to triage infra issues and drive to resolution.
Manage the delivery of high impact dashboards and data visualizations.
Requirements: Data Engineer
BS/B.Tech./M.Tech in Computer Science, Math or related field.
8+ years hands-on experience in the data warehouse space, custom ETL design, implementation and maintenance.
8+ years hands-on experience in SQL or similar languages and development experience in at least one scripting language (Python preferred).
Strong data architecture, data modeling, schema design and effective project management skills.
Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution.
Experience with large data sets, Hadoop, and data visualization tools a plus.
Ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders.
Should be willing to periodically travel between Singapore and India.