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Strong brand, metro Bangalore, popular data-engineer title, and broad skillset requirements increase candidate competition.
Specialized ClickHouse/Yugabyte and telecom OSS data modeling reduce cross-industry transferability.
Explicit 6+ years requirement plus mandatory ClickHouse/Yugabyte/Kubernetes and production on-call experience raises strictness.
Own design, build, and operation of large-scale data pipelines ingesting, normalizing, and serving telecom OSS data across PM, FM, IM, CM domains.
Engineer ClickHouse OLAP schemas and YugabyteDB YBSQL distributed SQL stores for high-throughput, low-latency analytics supporting KPI dashboards and AI/ML models.
Ensure data quality, governance, scalability, reliability, and collaborate closely with AI/ML teams to expose and ingest model outputs into operational data flows.
Bachelor's or Master's degree in Computer Science, Engineering or related field (or equivalent experience).
6+ years experience in software engineering building large-scale data platforms or distributed backend systems.
Strong hands-on production experience with ClickHouse or similar OLAP engines, and solid experience with distributed SQL/NewSQL stores like YugabyteDB YBSQL or CockroachDB.
Proficiency in programming languages such as Go, Java, Python or Scala; experience running data infrastructure on Kubernetes and/or cloud environments.
Experienced with telecom OSS/BSS domains, especially handling data from PM, FM, IM or CM including 3GPP counters, SNMP traps, NETCONF/YANG.
Skilled in designing AI-ready data architectures including feature stores and real-time serving for ML inference.
Capable of end-to-end system ownership including design, deployment, monitoring, and production support in Kubernetes/cloud telco settings.