Amazon Web Services (AWS)Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.
Job Overview:
We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.
The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.
Key Responsibilities:
- Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
- Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
- Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
- Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
- Leverage AWS DMS and SCT for full load and continuous replication migrations.
- Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
- Design and implement secure, highly available database architectures on AWS.
- Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
- Manage S3-based data lakes and metadata using Glue Data Catalog.
- Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
- Implement data validation, reconciliation, and rollback mechanisms.
- Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).
Must Have:
- 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
- Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
- Hands-on with AWS DMS and SCT for full load and CDC replication.
- Strong experience in database administration (HA, DR, backup/restore, schema conversion).
- Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
- Strong experience with S3-based data lakes and Glue Data Catalog.
- Strong SQL, Python/PySpark, and shell scripting.
Nice to Have:
- Experience with Aurora Global Database and cross-region replication.
- Familiarity with Oracle GoldenGate for real-time replication.
- Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
- Experience with Redshift, Lake Formation, and modern data warehousing.
- Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
- AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
- Experience mentoring teams and driving knowledge transfer sessions.
- Experience with Infrastructure as Code (Terraform / CloudFormation).
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Full Stack Developer - Averlon