AWS Cloud Solutions Architect

15 hours ago

Mysore, Karnataka, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Senior AWS Data Engineer

We are seeking an experienced Senior AWS Data Engineer to join our team. In this role, you will 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.

  • Key Responsibilities:
  • 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.
Required Skills and 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, 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.
Benefits:
  • Opportunity to work with cutting-edge technology and innovative projects.
  • Potential for career growth and professional development.
  • Collaborative and dynamic work environment.
Others:
  • Expertise in AWS data engineering services and tools.
  • Experience with cloud-based data warehousing and big data processing.
  • Strong understanding of data architecture and system design.
  • Excellent problem-solving and analytical skills.

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