Description

Build and maintain reliable data pipelines from source systems to S3 and Snowflake, ensuring data quality and resolving integration issues to support business reporting.

Responsibilities

• Design and implement ETL processes to move data into S3 and Snowflake.
• Monitor pipeline health, identify data anomalies, and resolve failures promptly.
• Collaborate with analysts and BI teams to translate business requirements into technical solutions.
• Ensure data accuracy and consistency across all integration stages.

Required Skills

• 7+ years of experience in data engineering, with a focus on ETL and data quality.
• Strong proficiency in Python, PyPI, and SQL.
• Hands-on experience with cloud platforms, specifically AWS and Azure.
• Practical knowledge of DevOps practices and secure coding standards.
• Experience working in an Agile environment.
• Ability to troubleshoot complex data issues and optimize pipeline performance.

Preferred Skills

• Basic understanding of cybersecurity principles regarding data access.

Key Skills

Education

Any Gradute