AWS Data Engineer
4 weeks ago
AWS Cloud Database EngineerExperience Required:
3-15 YearsLocation:
KolkataJob Type:
Full-time
Must Have:
Aws Glue; Aws Lambda; AWS RDS; AWS S3; Dynamo Db; PySpark; Python; Step FunctionKey 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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