Join our team as a Data Engineer, focusing on the design, development, and maintenance of robust data solutions for generation, collection, and processing. You will be instrumental in crafting efficient data pipelines, upholding data quality standards, and implementing ETL processes for seamless data migration and deployment across diverse systems.

This role offers a dynamic environment where you'll collaborate with colleagues to refine data workflows and meet evolving organizational data demands, ensuring the integrity and optimal performance of our data infrastructure.

Independently drive data engineering initiatives and become a subject matter expert. Actively participate and contribute valuable insights in team discussions. Propose and implement effective solutions to address work-related challenges. Collaborate with cross-functional teams to accurately capture data requirements and deliver scalable, high-performance solutions. Proactively monitor and troubleshoot data pipeline issues to maintain continuous data flow. Develop comprehensive documentation for data processes and workflows to ensure clarity and facilitate knowledge sharing. Mentor and support junior team members, providing guidance on their tasks and professional development.

Demonstrated proficiency in the Databricks Unified Data Analytics Platform is essential. Proven experience in building and managing scalable data pipelines and complex workflows. Solid understanding of data integration techniques and ETL processes. Familiarity with cloud-based data storage, processing solutions, and best practices. Ability to optimize data processing for enhanced performance and reliability. Knowledge of data governance principles and quality assurance methodologies is expected. Requires a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.