Description

Key Responsibilities:

• Development: Good understanding of data platforms and ETL frameworks, design, develop, and maintain end-to-end ETL/ELT pipelines using Python, AWS Glue, Snowflake, and dbt (optional).
• Orchestration & Automation: Build and manage sophisticated workflow schedules using AWS Airflow (MWAA) and other native AWS Services.
• Agile Leadership: Own the project lifecycle within JIRA, from sprint planning and task breakdown to maintaining rigorous design documentation.
• Stakeholder Collaboration: Partner with the Project Manager and Data Engineering Team Leads to translate ambiguous business needs into clear technical requirements and identify potential project risks early.
• Technical Mentorship: Act as a lead for the development team, providing technical guidance, conducting thorough code reviews, and helping peer developers digest complex requirements.
• Operational Excellence: Support the Data Operations/Production Support teams in troubleshooting critical issues and ensuring high system uptime.
• Strategic Planning: Contribute to the long-term technical roadmap, identifying opportunities for tool optimization and architectural improvements.

Required Technical Skills:

Key Skills

Education

Bachelor's degree