Hire Data Migration Engineers
Connect with Data Migration Engineers from Latin America. Proficient in ETL, schema mapping, and cloud migration with full setup in 21 days.
Hire Remote Data Migration Engineers
Andrés is a data specialist turning information into momentum and clear direction.
- SQL Analysis
- Data Validation
- Insight Discovery
- Database Management
- BI Tools
Óscar is a data strategist who translates metrics into useful operational decisions.
- Data Analysis
- Analytics Strategy
- Dashboarding
- Data Storytelling
- BI Tools
María José is a data specialist focused on delivering insights that support decision-making.
- Data Analysis
- Reporting
- Business Intelligence
- Data Modeling
- Data Visualization
Henrique is a data expert creating models that guide clear and confident decisions.
- SQL
- Data Modeling
- BI Reporting
- Forecasting
- Analytics Tools
Camila is a skilled data engineer known for her precision and innovative solutions.
- Big Data
- Data Warehousing
- ETL Pipelines
- SQL
- Python
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Data Migration Engineers Skills
System-to-System Migration
Move data between legacy and modern systems securely.
Data Mapping
Align fields and types between source and destination.
Schema Transformation
Restructure data to match new system requirements.
Data Validation
Ensure integrity post-migration with automated checks.
Cloud Migration
Migrate on-prem data to AWS, GCP, or Azure platforms.
Downtime Planning
Minimize impact through phased cutover strategies.
Data Migration Engineers Soft Skills
Risk Awareness
Anticipate and mitigate issues in data transitions.
Planning & Coordination
Work across teams to schedule smooth migrations.
Attention to Detail
Map, test, and validate data structures precisely.
Accountability
Take ownership of end-to-end data movement success.
Problem Solving
Adapt plans to resolve schema or system conflicts.
Communication
Keep all stakeholders informed during migrations.
How to Hire Data Migration Engineers with Lupa
Plan and execute secure data transfers with expert migration engineers. Source talent through our Remote Recruiting Company, scale flexibly with Remote Staffing Solutions, or manage ongoing hiring via our RPO support.
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Data Migration Engineers
Recommended Titles
- ETL Developer
- Data Transfer Specialist
- Cloud Migration Engineer
- Data Integration Engineer
- Data Migration Consultant
- Database Conversion Engineer
Role Overview
- Tech Stack: Proficient in SQL, AWS, Azure Data Factory, and Python scripting.
- Project Scope: Lead secure and performant data migration initiatives across platforms.
- Team Size: Collaborate with 3–5 data engineers and DevOps specialists.
Role Requirements
- Years of Experience: 3+ years managing data migration or cloud integration projects.
- Core Skills: Data mapping, validation frameworks, performance tuning, and rollback planning.
- Must-Have Technologies: AWS DMS, ADF, Python, SQL, Redshift/Snowflake.
Role Benefits
- Salary Range: $90,000 – $145,000 based on migration scale and toolset expertise.
- Remote Options: Global remote support with cloud-first development environments.
- Growth Opportunities: Lead high-visibility projects moving to next-gen data platforms.
Do
- Specify skills in planning and executing large-scale migrations
- Mention cloud platforms, legacy systems, and ETL pipelines
- Include use of tools like Talend, AWS DMS, or Azure Data Factory
- Highlight risk mitigation and QA experience
- Use precision-focused, transformation-aware language
Don't
- Don’t describe as general data engineers without migration focus
- Avoid skipping mention of cloud or legacy system transitions
- Don’t post without quality assurance and validation steps
- Refrain from ignoring tooling or migration stages
- Don’t use unclear timelines or “ad hoc” data goals
Top Data Migration Engineer Interview Questions
Smart questions for Data Migration Engineer interviews
What’s your process for planning a large data migration?
Expect a phased plan covering audit, mapping, validation, cutover strategy, and rollback options.
How do you ensure data integrity during migrations?
Look for checksum verification, row counts, validation scripts, and pre/post comparisons.
What tools or frameworks have you used for migration?
Expect Airbyte, Talend, AWS DMS, custom ETL scripts, or vendor-specific tools like Oracle GoldenGate.
Can you describe a complex migration challenge you solved?
They should explain the issue clearly—data type mismatches, volume bottlenecks—and how they resolved it.
How do you minimize downtime during migrations?
Look for change data capture (CDC), sync phases, parallel testing, and stakeholder coordination.
What steps do you take when a migration job fails mid-process?
Expect transactional checkpoints, logs inspection, and strategies for partial rollback or resumption.
How do you validate the success of a data migration?
Look for data completeness checks, checksum validations, and cross-environment comparison.
Describe a migration where data types or formats caused problems.
Expect data type mapping, transformation layers, and pre-migration compatibility testing.
What do you do when there’s schema mismatch between source and destination?
Expect schema mapping documentation, transformation logic, and automation pipelines.
How do you ensure zero downtime for a live migration?
Expect blue-green deployments, replication strategies, and phased cutovers.
Tell me about a migration project where timelines were tight.
Expect planning under pressure, milestone management, and delivery prioritization.
How do you manage data integrity during high-risk migrations?
Look for validation methods, rollback strategies, and pre-/post-migration checks.
Describe a situation where stakeholder alignment was crucial for success.
Expect cross-team coordination, expectation-setting, and iterative updates.
What do you do when source data is incomplete or outdated?
Expect audit strategies, stakeholder input, and rules for exception handling.
How do you handle pressure when downtime must be minimized?
Expect contingency plans, phased rollouts, and clear communication protocols.
- Insufficient planning for legacy data constraints
- Overlooking rollback or failure recovery steps
- Poor coordination with application and infra teams
- Fails to validate data accuracy post-migration
- Inconsistent mapping of data fields and formats
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