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Tier-1 finance brand, Hyderabad metro, and mid-level (6+ years) data role increase competition.
Requires asset-management and financial data domain expertise, reducing cross-industry transferability.
Mandatory 6+ years plus specific data observability, architecture, and tool expertise increases filtering.
Manage and monitor data workflows and job schedules ensuring timely data delivery and SLA adherence.
Build and maintain scalable data operations processes, dashboards, and monitoring tools to detect and resolve data quality issues.
Collaborate with engineering, business stakeholders, and governance teams to diagnose data problems and implement fixes to sustain data integrity.
6+ years of experience in data management, data operations, and data observability.
Bachelor’s degree in business, engineering, computer science, or a related field.
Experience with data pipeline monitoring, SQL, Python, and visualization tools like Power BI.
Knowledge of asset management industry and financial data concepts.
Experienced operating within fast-paced, data-centric environments with emphasis on data quality and observability.
Proficient in modern data architectures and operationalizing data governance, quality rules, and validation frameworks.
Capable of effectively coordinating across technical and business teams to resolve complex data issues and drive continuous improvements.