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Cyan360 - Senior AWS Data Engineer - Spark/Amazon RDS Job Opening In India, India – Now Hiring Cyan360


Job description

<p><p><b>Description :</b><br/><br/>- 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.<br/><br/>- Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.<br/><br/>- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.<br/><br/>- Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.<br/><br/>- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.<br/><br/><b>Qualification :</b><br/><br/>- Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.<br/><br/>- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.<br/><br/>- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.<br/><br/>- Strong experience with Apache Spark for data processing and analytics.<br/><br/>- Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.<br/><br/>- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Cyan360 Senior Potential: Insight & Career Growth Guide


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