Full-Time Senior Data Engineer

Import data into Snowflake from various sources, including S3, BigQuery, xlsx, and SFTP, among others.

Transform and standardize data to match predefined formatting requirements.

Perform data validation to ensure financial data accuracy and completeness.

Identify and troubleshoot issues related to data ingestion and transformation.

Monitor and maintain data pipelines to ensure efficient and reliable processing.

Collaborate with stakeholders to understand data requirements and formatting needs.

Assist with general data engineering tasks when not working on high-priority projects.

Ensure timely delivery of critical data imports.

Optimize data workflows for improved efficiency and performance.

Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Strong SQL skills with experience in data transformation and manipulation.

Proficiency in Python for data processing, automation, and pipeline development.

Experience with Snowflake and data ingestion best practices.

Familiarity with data extraction from multiple sources.

Ability to standardize and format data according to predefined specifications.

Basic understanding of financial concepts to perform high-level validation checks.

Experience in data engineering and pipeline development.

Strong problem-solving skills to troubleshoot and optimize data ingestion processes.

Excellent written and verbal English for clear and effective communication.

Minimum 5+ years of experience in similar roles.

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