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Sinqia

Database Engineer – Specialist

Sinqia

. Lead the data workstream for a SAP SQL Anywhere platform migration project involving millions of records, stored procedures, triggers, and critical integrations .

Posted 9/29/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data migration strategies, including Change Data Capture (CDC) and data governance, while ensuring compliance with Brazil’s General Data Protection Law (LGPD). Proven ability to optimize database performance and maintain data integrity in high-availability environments.

Highest-signal resume keywords
Data Migration StrategiesChange Data Capture (CDC)Database Performance OptimizationData Governance ComplianceLegacy Database Migration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SAP SQL AnywhereSybaseData ReplicationQuery TuningData SynchronizationData QualityDatabase MigrationPerformance OptimizationData Architecture ModernizationDigital Transformation
Soft Skills
Analytical MindsetExcellent CommunicationRelationship-BuildingOrganizationResults-Oriented
Tools & Technologies
AWS Data ServicesPostgreSQLPowerBuilder
Industry Keywords
General Data Protection Law (LGPD)Platform CoexistenceOperational Risk MitigationHigh-Availability EnvironmentsBusiness Rule Extraction

Tech Stack

Tools & technologies
AWSPostgresSQL

About the role

Key responsibilities & impact
  • Lead the data workstream for a SAP SQL Anywhere platform migration project involving millions of records, stored procedures, triggers, and critical integrations
  • Evaluate, define, and implement Change Data Capture (CDC) mechanisms to support platform coexistence scenarios
  • Ensure data consistency and a single source of truth during dual-run operations
  • Preserve data integrity and the performance of mission-critical enterprise applications
  • Support and enhance data environments for equivalence testing, validation, and replay of production history
  • Produce masked and synthetic datasets in compliance with Brazil’s General Data Protection Law (LGPD)
  • Define and execute wave-based data migration, reconciliation, and validation strategies while mitigating operational risks
  • Extract, document, and transform embedded business rules into reusable artifacts
  • Identify and resolve performance bottlenecks, driving continuous improvement of the database environment
  • Collaborate with multidisciplinary teams throughout all phases of the migration and technology modernization process

Requirements

What you’ll need
  • Advanced or fluent English for reading and interpreting technical documentation
  • Strong experience migrating legacy databases to modern platforms and/or cloud environments
  • Proven track record of migration and cutover projects completed without data loss
  • Experience with Sybase, SAP SQL Anywhere (ASA), or equivalent technologies
  • Knowledge of Change Data Capture (CDC), data replication, and data synchronization
  • Experience in platform coexistence environments and dual-store strategies
  • Strong background in query tuning and large-scale performance optimization
  • Knowledge of data governance, data quality, and compliance with Brazil’s General Data Protection Law (LGPD)
  • Experience with complex database migration projects in large-scale enterprise environments
  • Analytical ability to assess risks and define migration strategies
  • Preferred: experience with AWS data services; knowledge of FinOps and cost-optimization strategies (right-sizing); experience extracting and refactoring business rules embedded in PowerBuilder and SAP SQL Anywhere; experience with PostgreSQL; experience in data architecture modernization and digital transformation projects
  • Strategic vision and a strong sense of ownership
  • Analytical mindset with a focus on solving complex problems
  • Ability to work in critical, high-availability environments
  • Excellent communication and relationship-building skills with technical and business stakeholders
  • Organization, autonomy, and a results-oriented approach
  • Commitment to data quality, security, and governance