עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.
4+ years in analytics engineering, data modeling, or a closely related warehouse role - shipping production-grade models, not only ad-hoc SQL
Hands-on dbt in production: models, tests, documentation, version control
Strong SQL and warehouse data modeling (layered models, grain, entities)
Amazon Redshift or a comparable cloud warehouse (Snowflake, BigQuery)
Proven experience designing product telemetry with PMs or engineers - event schemas, properties, validation
Experience with event-tracking platforms / tracking-plan tooling (Snowplow, Segment, Amplitude or similar)
Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work
Git-based workflows and code review
Comfortable building a shared data layer in close partnership with embedded product analysts; clear English communication with PMs and engineers
Nice to have:
Snowplow specifically (strongly preferred)
Redshift specifically
BI / semantic-layer exposure (Looker, Tableau, Metabase or similar)
Python for data tooling
B2B DevOps / developer-tools product domain
Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
ערב