
Cloud Data Architect Specialist
4 hours ago
As a data engineer, you will be working with a dynamic team to design and develop scalable and high-performance data pipelines using Databricks and PySpark.
Your strong hands-on experience in Databricks and AWS will enable you to implement and manage data solutions on cloud platforms, ensuring seamless integration with various services such as S3, Glue, Lambda, EMR, and Redshift.
Key Responsibilities:
- Design and Develop Data Pipelines: Use Databricks and PySpark to create efficient and effective data pipelines that scale and perform optimally.
- Implement Data Solutions: Utilize AWS services such as S3, Glue, Lambda, EMR, and Redshift to implement and manage data solutions on cloud platforms.
- Collaborate with Cross-Functional Teams: Work closely with cross-functional teams to support end-to-end data solutions and ensure seamless delivery.
- Monitor and Troubleshoot Performance Issues: Identify and resolve performance issues in data pipelines and cloud infrastructure.
Why Work with Us?
- Professional Growth Opportunities: Continuous learning opportunities and professional growth to help you excel in your career.
- Flexible Work Environment: A supportive company culture and flexible work environment that promotes productivity and job satisfaction.
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