Chief Cloud Data Architect

6 hours ago

Gurgaon, Haryana, India beBeeCloudDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Cloud Data Architect

The role of the Cloud Data Architect involves designing and developing scalable backend services using Node.js, integrating with AWS Lambda, DynamoDB, and PostgreSQL to process structured and semi-structured data. The ideal candidate will have experience in designing, implementing data pipelines, building data applications, and migrating data on AWS.

  • Key Responsibilities:
  • Design and develop scalable backend services using Node.js, integrating with AWS Lambda, DynamoDB, and PostgreSQL to process structured and semi-structured data.
  • Build and orchestrate event-driven workflows and microservices using AWS Lambda, Step Functions, and CodePipeline, ensuring high performance and system availability.
  • Develop secure, containerized applications using Docker and deploy them on AWS EC2 instances, ensuring scalable and fault-tolerant service architecture.
  • Implement frontend components using Angular, interacting with backend APIs and dynamically rendering data from SQL and NoSQL sources.
  • Refactor and migrate legacy applications and services to cloud-native AWS architectures, leveraging DynamoDB, RDS, and Lambda for improved scalability and cost efficiency.
  • Optimize SQL queries and indexing strategies for PostgreSQL databases to support high-performance APIs and reduce latency for end-users.
  • Secure APIs and cloud resources using IAM roles, VPC configurations, and AWS KMS, adhering to best practices in compliance and data protection.
Required Skills and Qualifications:
  • Minimum Qualifications:
  • Experience in designing, implementing data pipelines, build data applications, data migration on AWS.
  • Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift.
  • Strong experience in Node JS, Angular, React, Python and SQL.
  • Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift.
  • Advanced programming skills in Python for data processing and automation.
  • Hands-on experience with Apache Spark for large-scale data processing.
  • Proficiency in SQL for data querying and transformation.
  • Strong understanding of security principles and best practices for cloud-based environments.
  • Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
  • Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • Preferred Qualifications/ Skills:
  • Bachelor's/Master's Degree-Computer Science, Electronics, Electrical or equivalent.
  • AWS Data Engineering & Cloud certifications.
  • Experience with multiple data integration technologies and cloud platforms.
  • Knowledge of Change & Incident Management process.

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