AWS Data Engineer
3 weeks ago
Experience Required: 3-15 Years
Location: Kolkata
Job Type: Full-time
Must Have: Aws Glue; Aws Lambda; AWS RDS; AWS S3; Dynamo Db; PySpark; Python; Step Function
Key Responsibilities:
- Design, develop, and manage cloud-based OLTP databases using AWS RDS and DynamoDB.- Build and maintain scalable ETL pipelines using AWS Glue and PySpark.- Develop serverless data workflows and automation using AWS Lambda and Step Functions.- Optimize database performance to support business-critical OLTP applications.- Manage and secure data storage in AWS S3, ensuring efficient data retrieval and integration with other AWS services.- Monitor, troubleshoot, and resolve database and infrastructure issues in AWS environments.- Collaborate with development and DevOps teams to implement data solutions within broader application architectures.- Implement database backup, recovery, high availability, and disaster recovery strategies on AWS.- Assist with data migration from legacy systems to AWS cloud environments, ensuring minimal downtime and data integrity.- Stay updated with the latest AWS advancements and best practices for data and cloud infrastructure.
Required Skills and Experience:
- 3-15 years of experience in cloud database engineering with a focus on AWS.- Strong experience with AWS RDS, DynamoDB, AWS Glue, AWS Lambda, and AWS S3.- Hands-on experience with PySpark and Python for building ETL processes and data workflows.- Proficiency in designing and managing OLTP databases and optimizing for performance and scalability.- Experience with AWS Step Functions to orchestrate and automate workflows.- Solid understanding of data governance, security, and disaster recovery strategies in AWS environments.- Experience with data migration to AWS from on-premise or other cloud environments.- Excellent problem-solving skills and the ability to troubleshoot complex database and infrastructure issues.- Strong communication and collaboration skills, with the ability to work in cross-functional teams.
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