Experience & Skills 7–10 years in distributed systems /data engineering. Proficient in Java, Spark, Python, Shell, Kubernetes, CI/CD, Terraform, observability tools, and Linux-based systems.
Own production issue resolution, RCA, and continuous improvements.
Drive cost efficiency through FinOps-aligned design and observability.
Define and track KPIs for usage, performance, and cost.
Build CI/CD pipelines, structured logging, and enable observability and debugging by design.
Cloud & Data Ecosystem Hands-on with Azure/GCP/AWS, modern orchestration tools, data formats (Parquet, Delta, Iceberg), and compute engines (Databricks, Clickhouse, Trino).
System Design & Optimization Design scalable, fault-tolerant systems with efficient storage, caching, and cost control.
Experience with model serving frameworks is a plus.
Governance & Reliability Apply data access policies, SLA/SLO tracking, and schema evolution best practices.
Experience: Senior-level · 7–10 years
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