
High-Performance Data Pipeline Architect
10 hours ago
We are seeking an experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines using Databricks and PySpark.
The ideal candidate will have a strong background in cloud architecture and data engineering, with expertise in AWS services such as S3, Glue, Lambda, EMR, and Redshift.
Key Responsibilities:
- Design and develop high-performance data pipelines using Databricks and PySpark.
- Implement and manage data solutions on AWS, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to support end-to-end data solutions.
Required Skills and Qualifications:
- Strong hands-on experience with Databricks (Mandatory)
- Solid experience with AWS cloud services (Mandatory)
- Proficiency in PySpark and distributed data processing
- Experience in CI/CD implementation for data workflows
Benefits:
This role offers a unique opportunity to work on challenging projects, collaborate with top talent, and grow professionally in a dynamic environment.
We offer:
- Competitive compensation package
- Ongoing training and professional development
- Opportunities for career advancement
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