
Chief Data Pipeline Architect
5 days ago
The role of a Data Engineer involves the design, development, and maintenance of large-scale data processing systems.
As a Data Engineer, you will be responsible for migrating ETL pipelines from legacy systems to modern platforms like Snowflake and Nexla. This includes designing and implementing efficient ETL pipelines using Python, PySpark, DBT, and related tools.
Key responsibilities include building and optimizing API-based integrations, ensuring data quality, consistency, and monitoring across pipelines, and contributing to prioritization and phased delivery of plugins.
Requirements:
- 3–6 years of experience in data engineering or ETL development with hands-on migration work.
- Strong knowledge of Snowflake data ingestion, transformation, and optimization.
- Proficiency in Python 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.
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