Senior AWS Data Migration Engineer

Total Exp: 8+yrs

Location:

Bangalore (Hybrid) / Remote :
Rest of India
Joining Preference:
Immediate to 15 days joiners
If interested, Share your CV at:

About the Role
We are hiring Senior Data Engineers to lead large-scale AWS migration and data platform initiatives. This is a senior individual contributor role focused on migrating legacy file storage and SQL Server databases into AWS-native environments while ensuring data integrity, scalability, and operational reliability.
You will drive architecture decisions, build migration and reporting pipelines, and define data quality and cutover strategies in a Kubernetes and AWS-based ecosystem.
Mandatory experience   Aurora/RDS,   in on prem to AWS, file migration and DB migration experience

Key Responsibilities Data Migration
Lead migration of:
NAS/NFS/SMB file storage to Amazon S3
SQL Server databases to Aurora Postgre

SQL / RDS
Handle large-scale file migrations (100+ GB files)
Design incremental sync, reconciliation, checksum validation, rollback, and cutover strategies
Build multi-hop data flows between S3, Kubernetes processing clusters, and analytics platforms
Data Engineering & Reporting
Design and build AWS-based ETL/ELT pipelines
Develop ingestion, transformation, and reporting workflows
Enable analytics using Redshift, Athena, and Aurora
Optimize pipeline performance, scalability, and cost
Data Quality & Reliability
Build validation, reconciliation, and quarantine frameworks
Implement monitoring, retry, and escalation workflows
Support DR testing, performance tuning, and migration validation
Infrastructure & CI/CD
Work within Terraform-managed AWS environments
Contribute to Git Lab CI/CD pipelines
Support security and compliance initiatives across IAM, KMS, encryption, and secrets management
Required Skills
8+ years of Data Engineering experience
Strong experience with:
NAS/NFS/SMB → S3 migrations
SQL Server → Aurora/Postgre

SQL migrations
Strong Python and SQL expertise
Hands-on experience with:
boto3
SQL Alchemy
ETL scripting
Strong AWS knowledge:
S3
Aurora/RDS
IAM
KMS
Cloud Watch
ECS/EKS

Experience with Docker, Kubernetes, Git Lab CI/CD, and Terraform
Ability to independently drive technical and architectural decisions
Preferred Skills
Spark, Airflow, or Kubernetes-based data pipelines
Exposure to Go or Java microservices
Pytest, Playwright, or K6 testing frameworks
Blue/green cutover and rollback planning experience
Experience supporting ML/data science workloads