Lead Data Engineer

Key Responsibilities:

Development & Implementation:

• Use Agile methodologies and AI-assisted coding tools to deliver rapid feature releases.
• Design, implement, test, review, and deliver solutions following best practices and CI/CD pipelines.
• Research and introduce new technologies and solutions, contributing to Snowflake Native App development.
• Coordinate with other teams to support larger data-sharing ecosystems.

Data Engineering & Big Data:

• Develop and maintain data processing workflows using tools like Airflow and Snowflake streams/tasks.
• Work with relational and non-relational data models and big data platforms (Snowflake preferred, Hadoop a plus).
• Apply strong database fundamentals and SQL skills for data analysis and transformation.

Support & Collaboration:

• Resolve production issues, provide on-call support, and assist client teams with technical solutions.
• Write clear user and technical documentation to ensure effective knowledge transfer.
• Foster a collaborative team environment and support continuous learning initiatives.

Quality Assurance:

• Engage in thorough testing and validation of data solutions to ensure accuracy and reliability.
• Follow SDLC best practices, code repositories (Git, Bitbucket), and issue tracking tools (JIRA).