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AWS Cloud Data Pipeline Architect
3 weeks ago
Highly skilled and experienced data engineers are sought after to play a key role in the design, development, and deployment of end-to-end data pipelines on AWS cloud infrastructure using Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift services.
Main Responsibilities:
- Design and develop scalable data pipelines to support analytics and reporting requirements using AWS services.
- Implement data processing and transformation workflows using Apache Spark and SQL to meet business needs.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and stakeholders to understand data requirements and deliver effective data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Required Qualifications:
- Minimum 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, Amazon Redshift, and Apache Spark.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
Benefits:
- Opportunity to work with a dynamic organization.
- Chance to collaborate with experienced professionals in the field of data engineering.
- A challenging role that requires creativity and problem-solving skills.