Data Platform Engineer

3 tygodni temu


Warszawa, Mazovia, Polska RITS Pełny etat
Key Responsibilities

We are looking for a highly skilled Big Data Engineer to join our team at RITS. The ideal candidate will have experience with building and running data platforms using public cloud infrastructure, such as AWS and GCP, as well as technologies like Kafka, Spark, and databases.


  • Develop and maintain data pipelines to onboard data into the platform, define schema, build DAG processing pipelines, and monitor data quality.
  • Help develop machine learning development frameworks and pipelines.
  • Manage and run mission-critical production services.
We Offer

We offer a competitive salary range of 25,000 - 33,000 PLN on B2B +VAT, 100% remote job, and a working hours schedule starting from 12:00 or ideally from 2 PM CET to have the overlap with the US team in the Eastern Time zone. Additionally, we provide a budget for materials and hardware, free private medical insurance or Medicover Sport Membership, and integration trips to NY/London/Warsaw several times a year.

Requirements

The ideal candidate will have a strong eye for detail, data precision, and data quality. They will also have experience maintaining system stability and responsibly managing releases, as well as considerable production operations and support experience. Additionally, they will be a clear and effective communicator who is able to liaise with team members and end-users on requirements and issues.


  • Expert-level grasp of SQL and databases/persistence technologies such as MySQL, PostgreSQL, SQL Server, Snowflake, Redis, and Presto.
  • Strong grasp of Python and related ecosystems such as conda or pip.
  • Experience building ETL and stream processing pipelines using Kafka, Spark, Flink, Airflow/Prefect, etc.
  • Experience with using AWS/GCP, Kubernetes, and Linux in production.
  • Ability to deal with ambiguity in a changing environment.
Nice to Have

Familiarity with data science stack, development skills in C++, Java, Go, or Rust, software builds and packaging on MS Windows, experience managing time series data, and familiarity with working with open source communities are all nice to have skills.


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