数据库管理员与批量数据管理工程师
DBA & Bulk Data Management Engineer
Description
About the Role
我们正在构建一个跨区域的多站点平台，为不同地区的移动运营商协调电信服务，其他地区还有额外的网络节点。作为我们的DBA及批量数据管理工程师，你将负责支撑该平台的所有数据库，从核心BSS/OSS/NOC模块到各应用背后的PostgreSQL存储。
你还将扩展你的职责范围至网络控制层，维护与HSS、OCS、PCRF和SMSC节点中厂商管理数据库的接口，并确保将网络数据引入其他所需系统的中介流程可靠、完整，并由明确的数据处理政策进行管理。
该职位涵盖三个领域：实际的数据库工程（安装、调优、备份/恢复、高可用性）、批量数据管理（大规模加载、迁移、导出、清理）以及数据治理（设计并执行保留、归档和合规政策）。你将成为一位资深个人贡献者，是整个BSS和NOC堆栈中所有数据库问题的专家。
What You Will Build
- 针对所有BSS和网络层PostgreSQL集群的端到端备份、恢复和灾难恢复框架。
- 覆盖索引策略、查询调优、表分区和真空调度的性能优化路线图，用于高吞吐量的订阅和计费数据。
- 大规模导入、导出、迁移和定时清理用户CDR和事件记录的批量数据管道。
- 与GDPR、运营商SLA和内部合规要求一致的数据处理、保留和归档政策。
- 数据库监控仪表盘（Prometheus + Grafana导出器），包含复制延迟、锁竞争、查询性能和磁盘饱和度的警报。
- 新PostgreSQL实例的安装和升级操作手册，随着平台扩展到新市场或模块。
- BSS中介与网络元素数据库（HSS、OCS、PCRF、SMSC、PGW）之间的跨平台数据集成层。
- BSS和工作流工程团队的模式审查和数据架构咨询流程。
- 数据访问控制框架：所有数据库层级的角色、权限、行级安全性和审计日志。
- 包含所有数据库操作流程、灾难恢复操作手册和事件响应步骤的运行手册和知识库。
Requirements
Must Have
- 熟练的PostgreSQL管理员经验
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Description
About the Role
We are building a multi-site platform that orchestrates telecoms services for mobile operators across different regions, with additional network nodes in other regions. As our DBA & Bulk Data Management Engineer you will own every database that underpins this platform from the core BSS/OSS/NOC modules through to the PostgreSQL stores that sit behind our different applications.
You will also extend your ownership into the network control layer, maintaining interfaces to vendor-managed databases inside HSS, OCS, PCRF, and SMSC nodes, and ensuring the mediation pipelines that bring network data into the other required system are reliable, complete, and governed by clear data-handling policies.
This role spans three disciplines: hands-on database engineering (installation, tuning, backup/restore, high availability), bulk data management (large-scale loads, migrations, exports, purges), and data governance (designing and enforcing retention, archival, and compliance policies). You will be a senior individual contributor and the go-to expert for all database topics across the entire BSS and NOC stack.
What You Will Build
- End-to-end backup, restoration, and disaster-recovery framework for all BSS and network-layer PostgreSQL clusters.
- Performance optimization roadmap covering index strategies, query tuning, table partitioning, and vacuuming schedules for high-throughput subscription and charging data.
- Bulk data pipelines for large-scale imports, exports, migrations, and timed purges of subscriber CDRs and event records.
- Data handling, retention, and archival policies aligned with GDPR, operator SLAs, and internal compliance requirements.
- Database monitoring dashboards (Prometheus + Grafana exporters) with alerting for replication lag, lock contention, query performance, and disk saturation.
- Installation and upgrade playbooks for new PostgreSQL instances as the platform scales into additional markets or modules.
- Cross-platform data integration layer between BSS mediation and network-element databases (HSS, OCS, PCRF, SMSC, PGW).
- Schema review and data-architecture advisory process for BSS and Workflow engineering teams.
- Data access control framework: roles, privileges, row-level security, and audit logging across all database tiers.
- Runbooks and knowledge base covering all database operational procedures, DR playbooks, and incident response steps.
Requirements
Must Have
- Strong hands-on PostgreSQL administration: installation, configuration, replication (logical/streaming), upgrade, and vacuum tuning
- Proven backup and restore experience: pg_dump, pg_basebackup, WAL archiving, point-in-time recovery, and DR testing
- Query performance analysis: EXPLAIN/ANALYZE, index design (B-Tree, partial, composite), and schema-level optimisation
- Bulk data operations: large COPY/INSERT loads, logical replication for live migrations, and automated purge/archival pipelines
- Data governance: designing and documenting retention, archival, masking, and access-control policies
- Scripting in Python or Bash for automation of backup jobs, health-check scripts, and bulk-load utilities
- Experience with containerized database deployments (Docker / Kubernetes)
- Monitoring: setting up Prometheus postgres_exporter, building Grafana dashboards for database KPIs
- High-availability patterns: replication failover, connection pooling (PgBouncer / Pgpool), read-replica routing
- Ability to work independently across multiple concurrent projects in a distributed, async-first team.
- Multi-datacenter replication and active-passive failover between geographically distributed clusters
Strong Advantage
- Experience with telecoms BSS/OSS platforms (billing, subscription management, or mediation systems)
- Familiarity with network-element databases: HSS (HLR), OCS, PCRF, SMSC, or PGW data models
- Data compliance experience (GDPR subscriber data, CDR retention regulations in EU jurisdictions)
Nice to Have
- Exposure to mediation layer data formats (ASN.1, IPDR, Diameter AVPs)
- Experience with BI or reporting extracts from operational BSS databases
About Webbing
Founded in early 2010, Webbing is a global data MVNO that delivers enterprise grade, global connectivity and IoT services across more than 200 countries and 600+ mobile carriers' networks. Webbing's secured network delivers network protection and web content intelligence.
Enterprise customers can manage, monitor, and optimize data usage in real-time with Webbing's powerful software platform. Gain visibility by application type and have the power to white list applications and limit non-business applications with the click of a button, saving money and improving compliance.
What we offer
- Fully remote
- An exciting and challenging greenfield platform with great skill and knowledge development opportunities.
- The opportunity to join a team of highly professional specialists in an international environment.
- The opportunity for professional development within a reputable international innovative and growing company.
Originally posted on Himalayas