We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Key Responsibilities
- Data Reliability & Quality: Establish and enforce Data Service Level Objectives (SLOs) focused on data freshness, completeness, and accuracy across critical data products.
- Data Observability: Implement advanced data observability tools to monitor the entire data journey—from ingestion to consumption—detecting data quality anomalies, schema drifts, and pipeline delays in real-time.
- Pipeline Resiliency & Automation: Collaborate with Data Engineering to embed reliability patterns into data pipelines built using Informatica, Python/Pyspark, and running on platforms like Amazon EMR/Hadoop, Informatica and cloud native services.
- Toil Elimination in Data Operations: Automate data validation, data reprocessing, data backfilling,
and other manual operational tasks within the data lifecycle to reduce toil and improve operational efficiency.
- Incident and Problem Management (Data Focus): Lead the response and resolution for data-related incidents (e.g., corrupt data, delayed reporting), ensuring fast recovery and effective post-incident reviews (blameless post-mortems).
- Runbook Creation & Automation (Data Focus): Develop and automate sophisticated, data-aware runbooks for common data pipeline failures, data quality issues, and data recovery scenarios.
Required Skills & Experience
- 8+ year’s overall experience in an Infrastructure, Data or related technology organization with increasing responsibilities as a hands-on technologist.
- 2-3+ year experience in Data Engineering, Data Quality, or a specialized SRE role within an enterprise data workplace.
- Hands-on experience with data warehousing and data lake technologies, incl
📌 IND - Staff Engineer, Reliability (Hyderabad)
🏢 The Hartford India
📍 Hyderabad
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