Data Platform Engineer

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Full-time

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Praha

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Tereza Kůrková

Company description

Global financial institution with R&D development HUB in Prague. The company is using the most modern technology stack etc. Kubernetes, Openshift, cloud based technologies. Scrum based teams.

Responsibilities

In this role you will join a growing and diverse big data experts to cover topics ranging from defining the overall big data architecture including cloud services evaluation, platform design and configuration, and ETL/ELT deployment to support the implementation of business use cases in the big data and data science fields in one of the biggest exchanges in the world.

- Define the migration steps of solutions from legacy systems to cloud Lakehouse
- Evaluate different cloud services to build out open format data layers
- Ensure the data platform is operational, secure, scalable, and reliable
- Contribute to define Data Mesh paradigm with different data domains
- Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions
- Write and maintain technical documentation and perform tasks in Agile methodology

Requirements

- At least 2 years of experience on similar position
- Hands on experience with cloud native big data technologies, Azure/GCP
- Ability to design and implement engineering solutions for business opportunities
- Knowledge of data management, monitoring, security, and privacy
- Experience in building data pipelines such as Data Factory, Apache Beam, or Apache Airflow
- Demonstrated experience in one or more programming languages, preferably Python
- Familiarity with at least one data platforms and processing frameworks such as Kafka, Spark, Flink; Delta Lake and Databricks is a big plus
- Knowledge in CI/CD tools such as GitHub Actions is a plus
- Strong team player willing to cooperate with colleagues across office locations and functions
- Very strong English language skills are a must

Our offer

- Bonuses
- Work mostly from home
- Flexible start/end of working hours
- Contributions to the pension / life insurance
- Contribution to sport / culture / leisure
- Education allowance
- Individual budget for personal growth
- Educational courses, trainings
- Transport allowance
- Meal tickets / catering allowance
- Cafeteria
- Refreshments on workplace
- Corporate events
- Holidays 5 weeks
- Sick days
- Notebook

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