Software Engineer/Developer
2 weeks ago
Key Responsibilities:
- Develop, test, and maintain high-quality, scalable data processing pipelines using Databricks and PySpark
- Design and implement efficient ETL processes for large-scale data integration and transformation
- Write optimized SQL queries for data analysis and reporting
- Develop Python / PySpark scripts for data manipulation, automation, and machine learning tasks
- Work with Azure cloud services, particularly Azure Databricks and CosmosDB
- Collaborate with data scientists and analysts to implement and optimize data models
- Participate in code reviews and contribute to best practices and coding standards
- Implement and maintain CI/CD pipelines using Azure DevOps
- Troubleshoot and resolve data processing and performance issues
- Stay current with the latest developments in big data technologies and cloud computing
Required Qualifications:
- Bachelors degree in computer science, Engineering, or a related field
- 8+ years of experience in software development, with a focus on data engineering
- Strong proficiency in Python programming
- Experience with Apache Spark and PySpark
- Solid understanding of SQL and experience with large-scale data processing
- Familiarity with Databricks and its ecosystem
- Experience with Azure cloud services, particularly Azure Databricks
- Knowledge of NoSQL databases, specifically CosmosDB
- Understanding of CI/CD principles and experience with Azure DevOps
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a team environment
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