Description
Hands on solution development on AWS cloud using Data Engineering Services and integrating with various internal and external applications. Required 12 Years
| Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments (e.g., AWS API Gateway). | Required | 12 | Years |
| Experience with Power BI, Snowflake and AWS data Lake integrations or similar | Required | 12 | Years |
| Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation | Required | 12 | Years |
| Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools | Required | 12 | Years |
| Data Ingestion and Transformation using Amazon S3, AWS Glue, Amazon EMR, AWS DMS, Amazon Redshift, AWS Lambda, Amazon AppFlow | Required | 10 | Years |
| Setting up schedulers by using Amazon EventBridge, Apache Airflow, or time-based schedules for jobs and crawlers DynamoDB, Kenesis, RDS etc. | Required | 10 | Years |
| Implementing data transformation services based on requirements using AWS Glue, Lambda etc. | Required | 10 | Years |
| Using orchestration services to build workflows for data ETL pipelines (for example, Lambda, EventBridge, Amazon Managed Workflows for ApacheAirflow ) | Required | 10 | Years |
| AWS Cloud Solution Architect and Data Engineer Certifications | Highly desired | ||
| AWS Data Zone Experience |
Education
Any Gradute
- Posted On: 8 days Ago
- Experience: 12+ years of experience
- Availability: Remote
- Category: Cloud solution architect
- Tenure: Contract - Corp-to-Corp Position