Must have

• Spark

• Python

• SQL

• English (B2)

Nice to have

• Data modeling

Requirements description

If you possess..

• Solid understanding of Spark and ability to write, debug and optimise Spark code with Python.
• Strong knowledge of Python and expertise with data processing technologies and query authoring (SQL).

Nice to have:

• Expertise in data modelling, warehousing, and working with columnar databases (e.g., Redshift, BigQuery).
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink) and handling data at the petabyte scale.

… then we are looking for you!

Offer description

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.

We are seeking a skilled Senior Data Engineer for Airbnb- our customer, an online marketplace connecting people who want to rent out their homes with people looking for accommodations in specific locales. Together with them, we are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. They are also reinventing how to serve users to improve performance, scalability and extensibility.

2-3 day per week you need to be available until 9:00 PM for meetings with the US team.

Your responsibilities

1. Proactively and effectively manages communications, ensuring all stakeholders are kept informed about project progress, changes, and updates.
2. Debug complex issues without assistance.
3. Navigates ambiguous product requirements to build eloquent solutions.
4. Manages multiple projects at once.
5. Collaborates effectively with cross-functional teams such as Data Science, Product Engineering, Advanced Analytics, and other stakeholders to design and implement data solutions.