
Data Engineering Specialist
1 week ago
Data Engineer Role
This is a technical contributor position ideal for individuals who excel in execution rather than high-level architecture.
The role involves delivering under tight deadlines in a fast-paced environment and contributing to the prioritization and phased delivery of large-scale data integrations.
A strong background in data ingestion, transformation, and optimization is essential. Proficiency in Python scripting and automation is also required.
Experience with PySpark, DBT, and API-driven data integrations is highly valued. Familiarity with cloud-hosted data solutions and observability is also desirable.
Main Responsibilities:
- Design and maintain ETL pipelines using Python and related tools.
- Execute migrations from Fivetran and other legacy connectors into Snowflake/Nexla.
- Build and optimize API-based integrations (authentication, pagination, automation).
- Ensure data quality, consistency, and monitoring across pipelines.
Required Skills & Experience:
- Strong knowledge of Snowflake.
- Proficiency in Python.
- Experience with PySpark and DBT.
- Familiarity with AWS/cloud-hosted data solutions.
Nice to Have:
- Prior experience with large-scale plugin migrations.
- Familiarity with Fivetran or similar aggregation platforms.
Benefits:
This role offers a solid track record in ETL → Data Engineering transition and the opportunity to contribute to the development of large-scale data integrations.
Note:
This is a technical contributor role requiring individuals who can deliver results under tight deadlines.
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