This position supports a system domain data engineering team in creating and maintaining ETL processes to transform raw data into valuable datasets used by various stakeholders.

The technology stack utilized includes AWS technologies, Confluence, Collibra, Jira, BitBucket, Bamboo, and Talend for efficient data management and quality assurance.

This role focuses on implementing and supporting ETL processes to serve data for analytical purposes, AI/ML applications, and business decision-making.

• Write ETL processes and design database systems.
• Troubleshoot software for data consistency and integrity.
• Translate business specifications into code and reports.
• Engage with stakeholders to understand business needs.
• Lead solution development phases and provide guidance.
• Conduct training sessions on tools and data sources.
• Test and implement new software releases through regression testing.

• Minimum of five years experience in data analytics or management.
• Undergraduate degree or equivalent training.

• Opportunity to work with advanced technologies.
• Engage with a variety of data sources and stakeholders.
• Contribute to impactful projects and business decisions.

This role offers an opportunity to develop deep analytical skills with a focus on optimizing data availability and quality of output. Applicants can expect a challenging yet rewarding environment for professional growth.

We look forward to reviewing your application and welcoming you to our dynamic team! Your expertise will help drive data-driven decision-making for our stakeholders and contribute to our continued success in fulfilling our core purpose. Join us in shaping the future of data engineering in Hesperia, California!