Data Engineer
⚲ Warszawa, Ochota
Do uzgodnienia
Wymagania
- Python
- AI/ML
- Google Cloud Platform
- Pandas
- FastAPI
- Kubeflow
- SQL
- Linux
- GitLab
- Terraform
- Terraform Cloud
Opis stanowiska
Nasze wymagania:
Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related.
Ability to work with large amounts of data in an operational environment.
Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP).
Experience in Data Warehousing and Business Intelligence.
Good knowledge of common Python libraries and frameworks (Pandas, FastAPI, kubeflow pipelines, GCP libraries).
Good knowledge of SQL databases, knowledge about noSQL would be an asset.
Experience in working with Linux and Git version control system (GitLab).
Knowledge of English at a level allowing for communication and preparation of technical documentation.
Practical knowledge of implementing cloud infrastructure (Terraform).
Zakres obowiązków:
Design, development and optimization of data models.
Building and maintaining databases, data warehouses, and data processing and storage systems.
Creating and managing ETL/ELT processes.
Cleaning, transforming and processing data to ensure its quality, consistency and compliance with business requirements.
Creating scripts and procedures to automate processes.
Testing data quality.
Work with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time.
Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas and other aspects related to data management.
Work with partners from other countries.
Travel to other countries.
Backend development, writing data integrations, APIs (Python).
Proved experience in data integration and orchestrating processes in Python.
Oferujemy:
Stable employment based on an employment contract
Hybrid work model (2 days from the office / 3 days from home)
Pension program – after 6 months of employment, Orange will contribute 7% of your gross salary each month to your retirement account
Additional training budget
Private medical care with PZU Zdrowie
Interest-free loans for housing, health, and other purposes
Subsidy for vacation
FitProfit sports card
Integration events and trips co-financed from the social fund
Option to join group insurance on preferential terms
Smartphone with unlimited Internet – also for private use
Preferential offer for Orange services
Diverse and tailored development opportunities – training, access to educational platforms (including language learning platforms), internal internship programs, and inspiring educational events
“Health YES” – a program for people with disabilities
“I’m in the game” – support for parents returning to work after parental leave
Wellbeing programs
Volunteering in cooperation with the Orange Foundation
Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related.
Ability to work with large amounts of data in an operational environment.
Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP).
Experience in Data Warehousing and Business Intelligence.
Good knowledge of common Python libraries and frameworks (Pandas, FastAPI, kubeflow pipelines, GCP libraries).
Good knowledge of SQL databases, knowledge about noSQL would be an asset.
Experience in working with Linux and Git version control system (GitLab).
Knowledge of English at a level allowing for communication and preparation of technical documentation.
Practical knowledge of implementing cloud infrastructure (Terraform).
Zakres obowiązków:
Design, development and optimization of data models.
Building and maintaining databases, data warehouses, and data processing and storage systems.
Creating and managing ETL/ELT processes.
Cleaning, transforming and processing data to ensure its quality, consistency and compliance with business requirements.
Creating scripts and procedures to automate processes.
Testing data quality.
Work with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time.
Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas and other aspects related to data management.
Work with partners from other countries.
Travel to other countries.
Backend development, writing data integrations, APIs (Python).
Proved experience in data integration and orchestrating processes in Python.
Oferujemy:
Stable employment based on an employment contract
Hybrid work model (2 days from the office / 3 days from home)
Pension program – after 6 months of employment, Orange will contribute 7% of your gross salary each month to your retirement account
Additional training budget
Private medical care with PZU Zdrowie
Interest-free loans for housing, health, and other purposes
Subsidy for vacation
FitProfit sports card
Integration events and trips co-financed from the social fund
Option to join group insurance on preferential terms
Smartphone with unlimited Internet – also for private use
Preferential offer for Orange services
Diverse and tailored development opportunities – training, access to educational platforms (including language learning platforms), internal internship programs, and inspiring educational events
“Health YES” – a program for people with disabilities
“I’m in the game” – support for parents returning to work after parental leave
Wellbeing programs
Volunteering in cooperation with the Orange Foundation
🔍 Dekoder Ogłoszenia
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Ability to work with large amounts of data in an operational environment.
Może oznaczać pracę z danymi, które są już w produkcji i wymagają ciągłego utrzymania, a nie tylko budowania nowych rozwiązań.
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Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP).
Chociaż preferowane jest GCP, brak doświadczenia w tej konkretnej chmurze może oznaczać, że będziesz musiał szybko się jej nauczyć lub pracować z innymi technologiami.
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Good knowledge of common Python libraries and frameworks (Pandas, FastAPI, kubeflow pipelines, GCP libraries).
Wymienione biblioteki są szerokie; 'dobra wiedza' może oznaczać od podstawowej znajomości po zaawansowane umiejętności, co wymaga doprecyzowania.
🟡
Work with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time.
Może oznaczać częste interakcje z nietechnicznymi zespołami, co wymaga umiejętności tłumaczenia złożonych zagadnień technicznych na język biznesowy.
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Work with partners f
Fragment jest niekompletny, co sugeruje niedopracowanie ogłoszenia lub potencjalne niejasności co do zakresu współpracy.