Senior Data Developer

We are seeking a skilled Senior Data Engineer to join our team to help design, scale, and harden the data platform powering our world‑class Unified Communications and Collaboration (UCC) reporting stack.

Responsibilities

• Debug and enhance data modeling practices across OLTP (Postgres) and OLAP (StarRocks) database systems
• Design and execute schema changes, backfills, and large-scale migrations without disrupting service continuity
• Tune query performance and optimize storage design to support both transactional and analytical workloads
• Propose ongoing improvements and contribute to architectural decisions that help scale the analytics platform

Requirements

• A minimum of 3 years of relevant professional experience
• Significant, hands-on experience working as a DBA or data engineer with relational databases such as PostgreSQL at scale
• Strong knowledge of OLAP technologies, including StarRocks or equivalent columnar/analytics databases
• Experience with data warehousing concepts and practices
• Ability to debug and optimize query performance and storage design across both OLTP and OLAP systems
• Working knowledge of software development using Kotlin or Golang
• A strong inclination toward building performant, efficient, and safe data solutions at scale
• Self-motivated and collaborative, capable of working independently within a team setting while mentoring others
• Strong communication skills for engaging effectively with team members and stakeholders
• Strong written and spoken proficiency in English at a B2 level or higher

Nice to have

• Experience with AWS Aurora for managing scalable relational database services
• Background in data modeling to support efficient and reliable data structures
• Skills in database performance tuning to optimize query execution and storage efficiency
• Familiarity with Docker for containerizing applications and services
• Working knowledge of Java for software development tasks
• Experience with Kubernetes for orchestrating and managing containerized workloads
• Familiarity with Terraform for provisioning and managing infrastructure as code
• Comfort working in a Unix-based environment, including Linux for pods and macOS for workstations
• Experience with data engineering pipelines, including tools such as Flink, Kafka, and ETL/ELT processes