
Cloud Data Engineering Expert
1 week ago
Key Responsibilities:
- Design, develop and implement end-to-end data pipelines on AWS cloud infrastructure using Amazon S3, AWS Glue, AWS Lambda and Amazon Redshift.
- Implement data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling and monitoring.
- Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability and cost-effectiveness by leveraging AWS best practices and cloud-native technologies.
Required Skills and Qualifications:
- At least 8 years of experience building and deploying large-scale data processing pipelines in a production environment.
- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda and Amazon Redshift.
- Strong experience with Apache Spark for data processing and analytics.
- Hands-on experience in orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.
- Solid understanding of data modeling, database design principles and SQL and Spark SQL.
Benefits of Working with Us:
- Opportunities to work on challenging projects and collaborate with experienced professionals.
- Professional growth and development opportunities through training and mentorship programs.
- Competitive compensation packages and benefits.
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