
Distinguished Cloud Data Engineer
3 days ago
We are seeking a skilled Cloud Data Engineer to drive data pipeline development and deployment on cloud infrastructure.
Main Responsibilities:- Design, develop, and deploy end-to-end data pipelines using AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Implement data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Bulk data pipeline orchestration to automate execution, scheduling, and monitoring.
- Collaborate with analysts and stakeholders to identify data needs and create scalable solutions.
- Ongoing optimization of data pipelines for performance, reliability, and cost-effectiveness using AWS best practices and cloud-native technologies.
- Minimum 8+ years of experience in building large-scale data processing pipelines in production environments.
- Hands-on experience designing and implementing data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services like Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Expertise in Apache Spark for data processing and analytics.
- Practical knowledge of orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.
- Firm understanding of data modeling, database design principles, and SQL and Spark SQL.
The ideal candidate will have strong technical skills, excellent communication skills, and the ability to collaborate effectively within a team environment.
Essential Skills:
- Data pipeline design and development on cloud infrastructure
- Data processing and transformation using Apache Spark and SQL
- Automated data pipeline orchestration using AppFlow, Event Bridge, and Lambda
- Cloud-native technologies and AWS best practices
- Cross-functional collaboration
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