Join our team as a Senior Data Engineer, a pivotal role in shaping our data landscape. This position focuses on the architectural design, development, and ongoing management of robust data solutions. You will be instrumental in creating efficient systems for collecting, storing, processing, and analyzing large datasets with utmost accuracy and speed.

This role demands a proactive approach to understanding and fulfilling data requirements, collaborating closely with both business and technology stakeholders. Your expertise will drive the development of scalable and reliable data infrastructure, ensuring seamless data workflows and insightful analytics.

Key responsibilities include collaborating with stakeholders to define data needs and designing, building, and maintaining efficient, scalable data infrastructure. You will be responsible for planning and implementing data pipelines, models, and applications, as well as managing data platforms like data warehouses and data lakes.

Further duties involve designing and developing analytical tools and programs, writing scripts, and automating tasks to optimize data engineering activities. Continuous performance monitoring and identification of improvement opportunities are also crucial aspects of this role.

We are seeking a seasoned professional with a minimum of 7 years of dedicated Data Engineering experience. A Bachelor's Degree is a mandatory requirement for this position.

Essential technical skills include proficiency in BigQuery and GCP. While not mandatory, preferred skills encompass a range of cloud technologies and programming languages such as Artificial Intelligence, DataForm, Data Flow, Dataproc, TERRAFORM, Cloud SQL, Airflow, PostgreSQL, PySpark, and Python. A Google Cloud certification is highly desirable.