Senior Data Engineer — ETL, SQL & AI Tools

RingCentral; Manila; On-site; PHP 1,000,000 - 2,000,000; Full time

Job summary

RingCentral is seeking a Senior Data Engineer to design and optimize data pipelines and support the Analytics team in delivering reliable daily reports.

You’ll work with a tech stack including Hadoop (Hive, Impala), Snowflake, and Linux, writing complex SQL, tuning queries, and building scalable ETL workflows while collaborating with Data Engineers, Analysts, and business stakeholders.

Qualifications

• 3+ years of experience in a Data Engineering position.
• Strong SQL skills with multi-table queries; Hive, Impala, SnowSQL a plus.
• Familiarity with Alteryx and Python.
• Hands-on experience with Linux and Git; production support for automation frameworks.
• Experience using AI tools like Claude and Gemini in data engineering work.

Responsibilities

• Design and build ETL pipelines for large datasets, ensuring data is accurate and up-to-date for daily reporting.
• Validate datasets for consistency and errors before handing over to analysts.
• Write and tune complex SQL queries for recurring and ad-hoc reports using Hive/Impala/Snowflake.
• Manage the full ETL lifecycle and optimize workflows for performance and efficiency.
• Administer the automation framework on Linux servers and Git-managed deployments, incl. deployments and troubleshooting.
• Collaborate with Data Engineers, Data Analysts, the Data Warehouse team, and stakeholders to translate requirements into data solutions.
• Leverage AI tools (Claude/Gemini) to enhance automation workflows.

Skills

SQL

Hive

Impala

SnowSQL

Python

ETL design

Git

Linux

Snowflake

Tools

Hadoop

Git

Snowflake

Linux

Job description

RingCentral is seeking a Senior Data Engineer to design and optimize data pipelines and support the Analytics team in delivering reliable daily reports.

You’ll work with a tech stack including Hadoop (Hive, Impala), Snowflake, and Linux, writing complex SQL, tuning queries, and building scalable ETL workflows while collaborating with Data Engineers, Analysts, and business stakeholders.