Start Date
Immediate
Expiry Date
29 Dec, 26
Salary
45000.0
Posted On
30 Sep, 26
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Consumer Services
Job Description :-
Job SummaryWe are seeking an experienced Data Engineer with a strong background in Asset Management to handle enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities • Own end-to-end data platform delivery, operational excellence, and SLA adherence. • Drive scalable data pipeline development, data quality, and platform reliability. • Manage cross-functional dependencies, stakeholder communication, and issue escalations. • Ensure high availability, monitoring, alerting, and production support readiness. • Collaborate with business, portfolio management, and technology leadership teams. • Define and implement best practices for platform governance, operational readiness, and performance optimization.
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Job Description :-
Job SummaryWe are seeking an experienced Data Engineer with a strong background in Asset Management to handle enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities • Own end-to-end data platform delivery, operational excellence, and SLA adherence. • Drive scalable data pipeline development, data quality, and platform reliability. • Manage cross-functional dependencies, stakeholder communication, and issue escalations. • Ensure high availability, monitoring, alerting, and production support readiness. • Collaborate with business, portfolio management, and technology leadership teams. • Define and implement best practices for platform governance, operational readiness, and performance optimization.