AWS Cloud Data Specialist

5 days ago


Bharatpur, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title:

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Senior AWS Data Engineer

We seek a skilled professional to design, develop and deploy end-to-end data pipelines on AWS cloud infrastructure.

Key Responsibilities:

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  • Develop robust data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
  • Design and build orchestration workflows to automate data pipeline execution, scheduling and monitoring.
  • Collaborate with 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.

Required Skills and Qualifications:

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  • Minimum 8+ years of experience in 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.
  • 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.

Why Work With Us:

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At Cyan360, we offer a dynamic and supportive work environment where you can grow and develop your skills. We foster a culture of innovation, collaboration and continuous learning.

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As a Senior AWS Data Engineer at Cyan360, you will have the opportunity to work on exciting projects that leverage the latest cloud technologies. You will be part of a team that values innovation, collaboration and continuous learning.

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Benefits:

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We offer competitive compensation packages, comprehensive benefits, and opportunities for growth and development. If you are a motivated and experienced professional looking for a new challenge, we encourage you to apply.

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Apply Now:

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If you are a skilled professional with a passion for data engineering, please submit your application. We look forward to hearing from you.



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