**Can also be Philippines**
**Excellent Pay** **Amazing Culture and Environment**
**Interviews happening now**
The Position:
* Designing and implementing ETL processes to migrate customer data from legacy systems into SDL's SaaS platform.
* Transforming datasets, including working with SQL databases, flat file formats (e.g., CSV), and other data structures.
* Developing and optimizing scripts and tools to automate data extraction, transformation, and loading processes.
* Collaborate with customers and internal stakeholders to understand data requirements and ensure accurate and efficient data migration.
* Build and maintain product components and tools that can be used for repeatable migrations with common systems.
* Employing best practices when it comes to code design, CI/CD, and developer experience.
* Participating in code reviews to ensure that the codebase is maintained to a high standard with every merged pull request.
* We are early in our deployment of several best practices, including automation. If rolling up your sleeves to build a quality program you always dreamed of is attractive to you, we will be a great fit.
What This Job Can Offer You:
* Complex and meaningful challenges — solving them will make our communities better places to live and work.
* Opportunity to have a significant impact on the business — you will be a member of a small high impact team focusing on an area that is critical to our success.
* Freedom to organize your work and life — we focus on impact and results, not complicated bureaucracy and unnecessarily rigid standards.
* A supportive work environment where you can grow and challenge yourself to do your best work.
What You Bring:
* You have prior experience in data engineering, ETL systems, or data migration roles in a SaaS based company.
* Proficiency in Python, with demonstrated ability to process and transform datasets programmatically.
* Strong knowledge of SQL and experience working with relational databases.
* Attention to detail and a commitment to delivering high-quality, accurate data migrations.
What Makes You Stand Out:
* Experience with GIS technology and spatial data formats, particularly shapefiles.
* Knowledge of cloud-based platforms such as Google Cloud Platform, AWS, or Azure.
* Experience with scripting for automation of repetitive tasks.
* Experience building scalable data pipelines that can transform data in jobs or at scale.