AWS Data Engineer
Skills
About the role
JD- AWS Data Engineer
Location – Bangalore(WFO)
Exp:6-10yrs
Working time zone - 12 noon to 8:30 PM
Mandate Skills - AWS Lambda, Glue, S3, IAM, SNS, Step Functions, SQS, DataSync, Python, REST API
Good to have - Agile Development,Data Quality, Metadata Management
Key Responsibilities:
Design, develop, and implement a scalable data quality monitoring pipeline within AWS Infrastructure
Design, develop, and implement data feeds for systems that intend to consume data from Collibra
Centralize job run metadata from IDMC and Collibra to feed into an operational dashboard
Streamline regression testing for IDMC and Collibra jobs
Required Skills & Experience:
Strong understanding of Agile methodologies and project management tools like Jira and Confluence.
Experience in building CI/CD pipelines and automation using Jenkins & Terraform
Experience in code version control and best practices
Hands-on experience with AWS Lambda, Glue, S3, IAM, SNS, Step Functions, SQS, and DataSync
Experience in calling REST APIs
Intermediate development experience with Python
Nice to Have:
Knowledge of IDMC REST APIs
Knowledge of Collibra REST APIs
Working experience with IDMC Cloud Data Governance and Catalog, Cloud Data Profiling, Metadata Command Center, and Cloud Data Quality
Working experience with Collibra
Working experience with Tableau or Amazon Quick Sight
Pay: ₹1,700,000.00 - ₹2,700,000.00 per year
Benefits:
Paid sick time
Paid time off
Application Question(s):
Notice Period
Expected CTC
Willing to Work from Office from 12pm-8.30pm in Bangalore
Experience:
Python & AWS development: 6 years (Required)
Work Location: In person
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