
Enterprise Data Migration Specialist
6 days ago
The selected candidate will play a critical role in ensuring a smooth migration, maintaining data quality, and enabling scalable operations across multiple workloads.
Main Responsibilities:
- Migrate data from Fivetran and other legacy connectors into Snowflake/Nexla.
- Design and maintain Extract Transform Load (ETL) pipelines using Python, PySpark, DBT, and related tools.
- BUILD API-based integrations (authentication, pagination, automation).
- Ensure data quality, consistency, and monitoring across pipelines.
- Contribute to prioritization and phased delivery of ~1,500+ plugins.
Requirements To succeed in this role, you must have:
Main Skills:
- 3–6 years of experience in data engineering or ETL development, with hands-on migration work.
- Strong knowledge of Snowflake (data ingestion, transformation, optimization).
- Proficiency in Python for scripting and automation.
- Experience with PySpark, DBT, and API-driven data integrations.
- Familiarity with AWS/cloud-hosted data solutions and observability.
- Solid track record in ETL → Data Engineering transition.
Nice to Have:
- Prior experience with large-scale plugin migrations.
- Familiarity with Fivetran, Nexla, or similar aggregation platforms.
- Ability to balance scripting-level problem-solving with broader data engineering.
- Comfort working in time-sensitive, high-stakes environments.
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