Data Engineer

1 week ago

Toronto, Ontario, Canada Telna Full time

Data Engineer

Job Description-

We are looking for an experienced Database Engineer to join our Engineering team. You will

design, develop, and optimize the data infrastructure that underpins our "Network as a Service"

platform. This role is critical to ensuring the reliability, performance, and scalability of the data

layer supporting Telna's global connectivity services.

About Telna-

Telna provides Mobile Networks, CSPs and OEMs with a managed global network infrastructure

for cellular connectivity. Telna has the largest LTE and LTE-M footprint in the world. Its multi-

network platform enables simplified billing and localization, utilizing 6+ telco pops globally.

Telna's Cronus connectivity platform allows instant access to its virtualized cellular

infrastructure via API or front-end portal.

About You-

You're a database specialist who lives and breathes production database performance. You

have 5+ years managing and optimizing databases that power large-scale SaaS applications

with hundreds of millions of rows and terabytes of data. You're equally comfortable working with

relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL systems (MongoDB,

Redis, Cassandra). You design schemas that scale, write complex queries that perform, and

troubleshoot production issues that would make other engineers nervous. You understand

indexing strategies, query execution plans, and how to identify bottlenecks before they become

critical problems. You collaborate effectively with application developers to optimize the data

layer and ensure database decisions support business requirements. You take ownership of

database health, availability, and performance in mission-critical production environments.

Experience/Skills Required-

 Bachelor's Degree in Computer Science or a related field.

 5+ years as a DBA or database performance engineer working with production

databases at scale

 Deep SQL expertise - query optimization, indexing strategies, execution plans

 Experience with both relational (PostgreSQL, MySQL, SQL Server) and NoSQL databases

(MongoDB, Redis, Cassandra)

 Proven track record managing databases with 100M+ row tables and multi-TB datasets

 Schema design and evolution in high-transaction SaaS environments

 Performance troubleshooting - identifying bottlenecks, deadlocks, slow queries

 Experience with database monitoring, alerting, and capacity planning

 Excellent communication skills to collaborate across technical and non-technical teams.

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