Senior Data Engineer
RingCentral13 days ago
Manila, PhilippinesSenior
Responsibilities
- Design and build ETL pipelines for large datasets and ensure data accuracy and freshness.
- Validate datasets for consistency and errors before delivery to analysts.
- Write and tune complex SQL queries for recurring and ad-hoc reporting using Hadoop, Hive, Impala, Snowflake, and source systems.
- Manage the full ETL lifecycle and optimize workflows for query performance and efficiency.
- Administer, deploy, upgrade, troubleshoot, and provide production support for an automation framework on Linux servers managed in Git.
- Use Claude, Gemini, and Claude Code in day-to-day engineering and automation-framework work.
- Collaborate with data engineers, data analysts, the Data Warehouse team, and business stakeholders to develop technical data solutions.
Requirements
- At least 3 years of experience in a data engineering position.
- Strong SQL skills, including complex queries across multiple tables and systems.
- Proven experience designing, creating, and optimizing ETL frameworks.
- Hands-on experience with Linux and Git and supporting production automation frameworks.
- Comfort working with Claude and Gemini and familiarity with managing an automation framework using Claude Code.
- Ability to build processes for complex requirements and develop creative workarounds when necessary.
- Experience with Hive, Impala, and SnowSQL is a plus.
- Familiarity with Alteryx and Python is a plus.
- Positive mindset and willingness to expand knowledge in data.
About RingCentral
RingCentral builds cloud-based unified communications and contact center software for businesses, combining business phone (VoIP), SMS, video meetings, team messaging, and integrations via open APIs. It sells these services as subscription SaaS to companies needing UCaaS/CCaaS and workforce engagement tools across devices. Founded in 1999 and headquartered in Belmont, California, RingCentral is a public company listed on the NYSE (RNG) with global operations across SMB, mid‑market, and enterprise customers.