Data Migration Lead

Tekton Labs; Comisión de Fomento de Perú; Presencial; ARS 77.472.000 - 84.209.000; Jornada completa

Descripción de la vacante

Tekton Labs seeks a Data Migration/Platform Engineer to lead critical migration efforts, ensuring data is extracted, cleansed, transformed, and validated as it moves from legacy systems to modern platforms.

You will apply a 360-degree view of business workflows to guarantee seamless end-to-end operations and minimal disruption during modernization projects.

Formación

• Bachelor’s degree in CS/IT/Engineering/Data Science or related field.
• Proven experience executing large-scale data migration and system conversion.
• Strong SQL development skills.
• Experience with ETL/ELT tools and frameworks.
• Proficiency in Python, PowerShell, or Shell scripting.
• Experience with reconciliation and validation methodologies.
• Advanced English proficiency is a MUST.

Responsabilidades

• Analyze source and target systems to understand data structures, relationships, and migration requirements.
• Develop and execute automated data extraction from databases, APIs, flat files, and legacy platforms.
• Design and implement data cleansing strategies to identify and resolve duplicates, incomplete, or inconsistent records.
• Build robust ETL/ELT workflows and transformation logic to convert legacy data into target-system formats.
• Develop automated validation and reconciliation processes to compare source and target data for accuracy.
• Support multiple migration cycles, including mock runs, dry runs, and production cutovers.
• Create and maintain detailed data mapping documents, migration runbooks, and reconciliation reports.

Conocimientos

SQL development

Python

PowerShell

Shell scripting

English proficiency

Reconciliation & validation

Educación

Bachelor's degree in Computer Science/IT/Engineering/Data Science

Herramientas

ETL/ELT tools

Descripción del empleo

At Tekton Labs, we are seeking a highly skilled Data Migration/Platform Engineer to lead data migration activities for critical system implementations and modernization initiatives. In this role, you will play a central part in ensuring that complex data is accurately extracted, cleansed, transformed, validated, and successfully migrated from legacy architectures to modern target platforms. Beyond technical execution, you will apply a 360-degree understanding of business workflows to ensure that migrated data perfectly reconciles and enables seamless end-to-end business operations without disruption.

Offer

Contractor: USD 4800.00

Timezone

(UTC-05:00) Lima, Peru - Peru Time (PET)

English Level

B2 - Upper Intermediate

Spanish Level

C2 - Native

Responsibilities

• Analyze source and target systems to comprehensively understand data structures, relationships, and specific migration requirements.
• Develop and execute automated data extraction processes from databases, APIs, flat files, and legacy platforms.
• Design and implement data cleansing strategies to identify and resolve duplicate, incomplete, or inconsistent records.
• Build robust ETL/ELT workflows and transformation logic to convert legacy data into target- system formats.
• Develop automated validation and reconciliation processes to compare source and target data, ensuring total completeness and accuracy.
• Support multiple migration cycles, including mock runs, dry runs, migration rehearsals, and production cutovers.
• Create and maintain detailed documentation, including data mapping documents, migration runbooks, and reconciliation reports.

Must have

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• Proven experience executing large-scale data migration and system conversion initiatives.
• Strong SQL development skills.
• Experience working with ETL/ELT tools and frameworks.
• Proficiency in Python, PowerShell, or Shell Scripting.
• Strong experience utilizing reconciliation and validation methodologies.
• Advanced English proficiency is a MUST.

Nice to have

• Experience working in financial services, payments, banking, fintech, or highly regulated industries.
• Knowledge of cloud platforms and modern data architectures.
• Experience working with data warehousing and analytics platforms.
• Experience utilizing Agile and DevOps methodologies.