7 часов назад
Junior Data Engineer (Azure Databricks)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Data Engineer (Azure Databricks) (Cloud Data Engineering): Building and supporting modern data pipelines and Lakehouse architectures with an accent on Azure Databricks, PySpark, Spark SQL, and Azure Data Factory. Focus on integrating multiple data sources, optimizing large-scale data processing, and maintaining SQL Server data warehouse structures for analytics and Power BI reporting.
Location: Warsaw, Poland; remote work culture is offered.
Company
is a global IT services and consulting company supporting digital transformation and technology projects for enterprise and startup clients across more than 25 countries.
What you will do
- Support and evolve SQL Server data platforms and ETL solutions.
- Develop and maintain data pipelines using Azure Databricks, PySpark, Spark SQL, and Azure Data Factory.
- Integrate data from multiple sources into data platforms and analytical layers.
- Maintain data models and data warehouse structures for analytics.
- Ensure data quality, scalability, and performance of large-scale data processing pipelines.
- Collaborate with BI teams on Power BI and reporting platforms while implementing cloud data architectures under senior guidance.
Requirements
- 2+ years of experience in data engineering, data warehouse development, or a related field.
- Experience with Azure Databricks, PySpark, Spark SQL, and distributed data processing.
- Good SQL skills and experience with SQL Server relational databases.
- Experience building ETL/ELT pipelines with Azure Data Factory.
- Understanding of data processing and performance optimization concepts.
- Strong analytical, problem-solving, communication, and collaboration skills with a proactive approach to learning.
Nice to have
- Knowledge of Spark optimization techniques, including partitioning, caching, and cluster tuning.
- Familiarity with Power BI, Databricks Structured Streaming, Delta Lake, and Lakehouse architectures.
- Experience migrating traditional ETL processes to cloud architectures.
Culture & Benefits
- Remote work culture with flexibility.
- Competitive compensation and benefits, including health insurance and language courses.
- Professional development through certification programs, mentorship, talent investment, and internal mobility opportunities.
- Multicultural environment with open communication and regular team-building events.
- Relocation program and opportunities to work on projects for global clients.
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