Develop, test, and maintain ETL/ELT pipelines for data ingestion and transformation.
Assist in designing and implementing data models, schemas, and lakehouse architectures.
Write and optimize SQL queries in Snowflake for data extraction and reporting.
Collaborate with BI developers and analysts to ensure data accessibility and usability.
Monitor and troubleshoot data workflows to maintain system reliability.
Support migration and integration projects on cloud platforms (e.g., AWS Lambda) and Python.

🎯 Requirements

Bachelor's degree in CS/IS/Business Analytics/Data Science or related field (or equivalent).
Up to 5 years of data engineering experience with strong SQL development.
Experience in data warehousing and data modeling concepts.
Certifications in relevant tools (SQL, Snowflake, Azure).
Experience with cloud-based BI solutions (AWS).
Familiarity with Agile development methodologies.

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