This role focuses on the design, development, and upkeep of robust data solutions. You will be instrumental in building and maintaining data infrastructure and pipelines for efficient and accurate collection, storage, processing, and analysis of large datasets.

The position requires a proactive approach to optimizing performance and identifying areas for enhancement across data systems.

Collaborate closely with business and technology teams to align data solutions with current and future needs.

Design, build, and maintain scalable and reliable data infrastructure for collection, storage, transformation, and analysis.

Develop and manage scalable data solutions, including pipelines, models, and applications, ensuring efficient data workflows.

Implement and maintain diverse data platforms such as data warehouses, data lakes, and data lakehouses for both structured and unstructured data.

Create and deploy analytical tools and programs, including scripting and task automation, to support data engineering functions.

A Bachelor's Degree is required for this position.

We are seeking candidates with a minimum of 7 years of experience in Data Engineering, with the flexibility to consider up to 30 years of experience.

Proficiency in BigQuery and Google Cloud Platform (GCP) is essential.

Preferred skills include a range of Google Cloud services, ETL tools, database technologies, and programming languages like Python and PySpark.