обновлено 2 месяца назад
Senior Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks/PySpark): Building databases, data lakes, and ingestion pipelines for renewable energy data projects with an accent on scalable data platforms, ETL validation, and end-to-end data solutions. Focus on designing production-ready pipelines, supporting data science models, and coordinating data security, privacy, and third-party integrations.
Location: Poland, Croatia or Ukraine
Company
is a custom software development company delivering software engineering, product development, QA, R&D, design, technology consulting, and dedicated team services.
What you will do
- Build databases, data lakes, and data ingestion pipelines for project datasets.
- Design, develop, and deploy end-to-end solutions for data and data science models.
- Develop and maintain scalable data and machine learning solutions across the data lifecycle.
- Support database, pipeline, metadata, infrastructure, and code management.
- Collaborate with data platform, architecture, development, and operations stakeholders.
- Address data security, privacy, and third-party coordination.
Requirements
- 4+ years of experience in data engineering, SQL, and ETL, including data validation, mapping, and exception handling.
- Experience with Databricks, Snowflake, or Azure Fabric.
- Practical experience with PySpark; a pet project is acceptable, but theory-only knowledge is insufficient.
- Experience working with APIs and Python.
- Upper-Intermediate English or higher.
Nice to have
- Knowledge of the energy industry, including energy trading, utilities, or power systems.
- Experience with geospatial data.
Culture & Benefits
- Close cooperation with the customer.
- Challenging technical tasks and competence development.
- Ability to influence project technologies.
- Collaboration with a professional team in a dynamic, low-bureaucracy environment.
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