Join our team as a Data Engineer, where you will be instrumental in shaping our data landscape. You will design, develop, and maintain robust data solutions, focusing on data generation, collection, and processing. Your expertise will be crucial in building efficient data pipelines and ensuring the highest standards of data quality.

Your responsibilities will encompass implementing sophisticated ETL processes for seamless data migration and deployment across diverse systems. This role offers a significant opportunity to contribute to the foundational data infrastructure and enhance operational efficiency within the organization.

In this role, you will independently drive projects and develop expertise, becoming a subject matter expert. You are expected to actively participate in team discussions and contribute innovative solutions to challenges. Collaborating with cross-functional teams to understand data needs and deliver scalable solutions is key. You will also monitor and optimize data workflows for peak performance and reliability.

Key duties include documenting data processes, maintaining clear communication on data architecture, and assisting junior team members through knowledge sharing and best practice guidance.

We are seeking candidates with a minimum of 3 years of experience, specifically with the Databricks Unified Data Analytics Platform. Strong proficiency in building and managing scalable data pipelines and workflows is essential. A solid understanding of data integration techniques and ETL processes is required.

Familiarity with cloud-based data storage and processing solutions is expected. The ability to efficiently troubleshoot and resolve data quality and pipeline issues is crucial. Knowledge of relevant scripting and programming languages for data engineering tasks is also necessary. A full-time education spanning 15 years is a prerequisite for this role.