Data Engineer designing, developing, and supporting large-scale data migration and integration solutions in AWS. Expertise in AWS DMS, Python, and Oracle PL/SQL required.
Responsibilities
Design, configure, and manage AWS DMS replication tasks for full-load and CDC
Troubleshoot migration issues including latency, table mapping, LOB handling, and replication instance tuning
Fine-tune DMS task parameters and validate data consistency post migration
Automate monitoring and alerting DMS using CloudWatch, SNS, or Lambda
Develop Python scripts for data validation and reconciliation, migration automation workflows, API integrations and utility tools
Build ETL/ELT orchestration using Python frameworks or AWS services (Lambda, Glue, Step Functions)
Write modular, scalable, production-ready code following best practices
Develop and optimize complex PL/SQL procedures, functions, triggers, and packages
Prepare technical documentation including design specs, runbooks, and migration plans
Participate in code reviews and ensure adherence to engineering standards
Requirements
4-6+ Years of Relevance Experience
Strong hands-on experience with AWS DMS
Proficiency in Python for data engineering & automation
Advanced skills in Oracle SQL/PLSQL development
Experience with AWS services such as: EC2, S3, IAM, RDS, CloudWatch, Lambda
Good understanding of ETL/ELT concepts and data modeling
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