Position: Data Engineer
Company: Petcube
Category: Data Science
Experience required: 3y
English level: intermediate
Published: 2021-11-01T00:00:00+02:00

**What you’ll do**
* Fully own the ETL/ELT processes for the business, product, technical metrics data
* Lead the creation of the optimal data processing and work them out jointly with engineers, data analysts, product managers
* Foresee the upcoming data-related challenges, capture, resolve, and prevent them via the transparent roadmap

**What experience we expect**
* 3+ years practicing data magic
* SQL mastery
* Hands on with MySQL, BigQuery, Clickhouse
* Proficiency with Python (PHP and golang add to karma)
* ETL/ELT practical knowledge (with tools like ApacheAirflow)
* Understanding ins and outs of cloud vs. on-premises data warehouse solutions (GCP experience adds to karma)
* These skills and knowledge add points: RabbitMQ, Docker, Kubernetes, Kafka, Git

**Why join?**
* We walked the startup path from 0 to 1, successfully leaving the crisis periods behind.
* Our business = Internet of Things x SaaS for hundreds of thousands active customers. It has everything tasty: hardware, firmware, backend, apps, video streaming, payments, ML + lots of financial, sales, and marketing data to work with.
* You will get x3 experience multiplier compared to other product teams, let alone outsourcing.
* You’ll have full team’s support and no bureaucracy barriers to iterate on product quality and team’s maturity.
* We’re working fully remotely with flexible working hours - just getting things done. Coworking is compensated. And once in a while, we gather offline to celebrate and party.

**About us**
We have been creating IoT and software products for pets since 2012, and strive for the level of quality that Apple has set in electronics for humans. 🧔👩💕🐶🐱
During the pandemic, we have already launched two successful hardware products. They are selling so fast that previously minor defects have become a major constraint for our growth. Therefore, we extend the team, primarily searching for the high-profile engineers and QAs.