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À propos
#Responsibilities
- Develop and maintain PySpark ETL pipelines in Databricks
- Design, optimize, and monitor data processing jobs
- Implement robust job handling, scheduling, and error management
- Work with structured and semi-structured data (large-scale datasets)
- Optimize performance and cost efficiency in Databricks
- Support data transformations across Bronze / Silver / Gold layers
#Requirements
- Strong experience with Python and PySpark
- Hands-on experience with Azure Databricks
- Experience building and managing ETL pipelines
- Understanding of data lake / medallion architecture
- Experience with job orchestration and monitoring
- Good debugging and performance optimization skills
NOTE:
- Contact us only over upwork.
- Do not contact us by mail or phone. Only upwork applications will be regard
- Do not send a AI generated standard application text - won't regard
Contract duration of 1 to 3 months. with 30 hours per week.
Mandatory skills: Python, PySpark, Apache Spark, Databricks Platform
Compétences linguistiques
- English
Avis aux utilisateurs
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