Description :

- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using 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.

- 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, leveraging AWS best practices and cloud-native technologies.

Qualification :

- 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, etc.

- Strong experience with Apache Spark for data processing and analytics.

- Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.

- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.