AWS Cloud Engineer Leader
7 days ago
Key Responsibilities:
- Lead the design and implementation of large-scale data processing systems on AWS.
- Collaborate with development teams to develop, test, and deploy cloud-based data platforms.
- Develop and maintain CI/CD pipelines using CloudFormation and Jenkins.
- Analyze data using SQL stored procedures and implement data ingestion pipelines in AWS.
- Implement ETL/ELT for data solutions and knowledge of implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model.
- Design, build, and maintain efficient, reusable, and reliable code.
- Participate in system design discussions and perform hands-on development and unit testing of applications.
Requirements:
- 9+ years of experience as a Data Engineer on the AWS Stack with PySpark.
- Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail.
- Programming experience with Python, Shell scripting, and SQL.
- Good to have: Implement high-velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka.
About the Role:
This is a senior leadership role within our cloud engineering team, responsible for leading the design and implementation of large-scale data processing systems on AWS.
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