
Databricks PySpark Developer
1 week ago
- Job Title: Databricks PySpark Developer
We are seeking a skilled Databricks PySpark developer to join our team. The ideal candidate will have extensive experience in developing and optimizing data processing jobs using PySpark, as well as designing and implementing robust data pipelines on the AWS platform.
Key Responsibilities- Develop and optimize data processing jobs using PySpark to handle complex transformations and aggregations efficiently
- Design and implement robust data pipelines on the AWS platform (Databricks exposure is a plus)
- Utilize AWS services like EC2, S3 for scalable data processing and storage
- Manage SQL database schema design, query optimization, and performance tuning
- Design and maintain data warehouses following best practices in data modeling and ETL
- Use Databricks clusters and Spark jobs to ensure data quality and performance
- Implement security measures, backup, and disaster recovery using AWS best practices
- Use GitHub and CI/CD for source code management and deployment
- Orchestrate data workflows using Apache Airflow
- Collaborate with data scientists and business analysts for advanced analytics projects
- Databricks
- PySpark
We offer a dynamic work environment that fosters collaboration and innovation. Our team is committed to delivering high-quality solutions that meet the needs of our clients.
About UsWe are a leading provider of data analytics solutions. Our team of experts has extensive experience in developing and deploying data processing jobs using PySpark.
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