Must have

• Python

• SQL

• Django

• Linux

• DRF

• English

Nice to have

• PySpark

Requirements description

• Hands-on, proactive approach

• 3+ years of commercial Python experience

• Very strong solid understanding of Python mechanics

• Ability to write and understand SQL queries for data processing (partitions, windows, transformations)

• PySpark experience is a big plus

• Good knowledge of Django + Django REST Framework

• Good understanding of REST, serializers, viewsets, permissions

• Linux is your daily driver

• Good understanding of Linux is big plus, being a power user is a big plus

• Proficiency in English

Offer description

Correct Context is looking for a Python/DRF Big Data Developer for Comscore in Poland and around.

Comscore is a global leader in media analytics, revolutionizing insights into consumer behavior, media consumption, and digital engagement.

Comscore leads in measuring and analyzing audiences across diverse digital platforms. Thrive on using cutting-edge technology, play a vital role as a trusted partner delivering accurate data to global businesses, and collaborate with industry leaders like Facebook, Disney, and Amazon. Contribute to empowering businesses in the digital era across media, advertising, e-commerce, and technology sectors.

We are creating new service that would expose Big Data processing capabilities over HTTP API.

We offer:

• Real big data projects (PB scale) 🚀

• An international team (US, PL, IE, CL) 🌎

• A small, independent team working environment 🧑‍💻

• High influence on working environment

• Hands on environment

• Flexible work time ⏰

• Fully remote or in-office work in Wroclaw, Poland 🏢

• 12,000 - 16,000 PLN net/month B2B / UZ 💰

• Private healthcare (PL) 🏥

• Multikafeteria (PL) 🍽️

• Free parking (PL)🚗

As a Python/DRF Big Data Developer, you'll:

• Build and maintain scalable APIs using Python, Django + DRF

• Design and build big data processing pipelines using Apache Airflow and PySpark (also AWS Trino, Iceberg, AWS SageMaker, AWS DataZone and Kubernetes)

• Work on products providing audience insights and media analytics

• Integrate and optimize data pipelines from various platforms (TV, web, mobile)

• Own backend components and participate in architectural decisions

• Collaborate closely with frontend engineers and data analysts

If you think you’re a good fit, but don’t meet all the qualifications, let’s talk!

The recruitment process for the Python/DRF Big Data Developer position has following steps:

1. Technical screening - 30 min
2. Technical interview - 1h-2h
3. Interview with Manager - ~30 min

Your responsibilities

1. Hands-on, proactive approach
2. 3+ years of commercial Python experience
3. Very strong solid understanding of python mechanics
4. Ability to write and understand SQL queries for data processing (partitions, windows, transformations)
5. PySpark experience is big plus
6. Good knowledge of Django + Django REST Framework

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