Python Developer
Job Summary
Job Description
The Python Developer will be responsible for designing, developing, and maintaining Python-based applications and data pipelines. This role involves utilizing Databricks for efficient big data processing and analysis, and optional experience with UiPath or Azure Data Factory (ADF) for workflow automation and data orchestration. The developer will collaborate with cross-functional teams to understand business requirements and implement data solutions, optimizing and troubleshooting the existing codebase for performance and scalability. They will also contribute to the design and architecture of data systems.
Must have:
- 4-5 years of Python development experience.
- Proficiency in Databricks for data processing and analytics.
- Proficiency in PySpark for building complex data pipelines.
- Strong understanding of data engineering principles.
- Knowledge of database systems (relational and NoSQL).
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to interact with stakeholders.
7 skills required
Job Details
Responsibilities:
● Design, develop, and maintain Python-based applications and data pipelines.
● Utilize Databricks for efficient big data processing and analysis.
● Optional experience with UiPath or Azure Data Factory (ADF) for workflow automation and
data orchestration.
● Collaborate with cross-functional teams to understand business requirements and
implement data solutions.
● Optimize and troubleshoot existing codebase for performance and scalability
● Contribute to the design and architecture of data systems.
● Design, develop, and maintain Python-based applications and data pipelines.
● Utilize Databricks for efficient big data processing and analysis.
● Optional experience with UiPath or Azure Data Factory (ADF) for workflow automation and
data orchestration.
● Collaborate with cross-functional teams to understand business requirements and
implement data solutions.
● Optimize and troubleshoot existing codebase for performance and scalability
● Contribute to the design and architecture of data systems.
Required Skills:
● 4-5 years of hands-on experience in Python development.
● Proficiency in utilizing Databricks for data processing and analytics.
● Proficiency in PySpark to build complex data pipeline.
● Strong understanding of data engineering principles and best practices.
● Knowledge of database systems, both relational and NoSQL.
● Ability to work independently and collaboratively in a team environment.
● Excellent problem-solving skills and attention to detail.
● Strong communication skills to interact with stakeholders.
● 4-5 years of hands-on experience in Python development.
● Proficiency in utilizing Databricks for data processing and analytics.
● Proficiency in PySpark to build complex data pipeline.
● Strong understanding of data engineering principles and best practices.
● Knowledge of database systems, both relational and NoSQL.
● Ability to work independently and collaboratively in a team environment.
● Excellent problem-solving skills and attention to detail.
● Strong communication skills to interact with stakeholders.
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