Senior Data Engineer

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines using Python and SQL.
• Work with Snowflake to build scalable data models and optimize query performance.
• Implement CI/CD workflows using Jenkins and Bitbucket for automated data pipeline deployment.
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and security across all data systems.
• Monitor and troubleshoot data pipeline issues and implement proactive solutions.
• Maintain documentation for data processes, architecture, and workflows.

Qualifications:

• 4+ years of experience in data engineering or related roles.
• Strong proficiency in Snowflake, Python, and SQL.
• Experience with Jenkins and Bitbucket for CI/CD and version control.
• Solid understanding of data warehousing concepts and best practices.
• Ability to work with large datasets and optimize data processing workflows.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Excellent problem-solving and communication skills.