Technical Lead, Data Engineering
Rakuten Symphony (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.