Data Migration Specialist

Data Engineer Location: Brazil, Fully Remote Type: Full-time (8 hours/day) Setup: Consultancy / Freelance Level: Senior-Mid Level Industry: Software IT / SaaS Shift: EST Time Zone Equipment: Must have own machine; equipment not provided

Position Overview We are seeking a skilled Data Engineer to design, build, and optimize data migration pipelines that enable seamless transitions from legacy systems into our SaaS platform. You will work closely with both customers and internal teams to ensure data accuracy, reliability, and long-term scalability across our product ecosystem.

Key Responsibilities Design, develop, and implement ETL/ELT pipelines to migrate customer data from various legacy systems into the SDL SaaS platform Transform datasets across multiple formats (e.g., SQL databases, APIs, flat files like CSV) ensuring data integrity and consistency Build reusable components and tooling that support repeatable and scalable migration processes Automate data extraction, transformation, and loading workflows to improve performance and efficiency Partner with customers and cross-functional teams to deeply understand data requirements and resolve data-related challenges Apply best practices in code quality, testing, CI/CD, and deployment to maintain a robust engineering ecosystem Participate in peer code reviews and contribute to evolving engineering standards as we scale Support ongoing process improvement by helping build foundational data engineering capabilities

Job Requirements Proven experience in

data engineering

,

ETL development

, or

data migration

within a SaaS environment Proficiency in

Python

for data transformation and automation scripting Strong hands-on knowledge of

SQL

and experience working with relational databases Ability to work with multiple data formats (e.g., CSV, structured/unstructured sources) Strong analytical mindset with high attention to data accuracy and quality Ability to collaborate effectively with both technical and non-technical stakeholders Knowledge of software development best practices, including version control and code reviews

Preferred Qualifications Experience with

GIS technologies

and spatial data formats such as shapefiles Familiarity with

cloud platforms

(GCP, AWS, Azure) Experience building scalable data pipelines and automating complex workflows Understanding of distributed systems or large-scale data processing architectures