Join our team as a Data Engineer and take the lead in architecting and maintaining robust data solutions. This role is pivotal in shaping our data generation, collection, and processing capabilities. You will be instrumental in crafting efficient data pipelines, upholding data integrity, and implementing sophisticated ETL processes for seamless data migration and deployment across our systems. Collaborate closely with diverse teams to translate data requirements into actionable strategies, ensuring our data architecture effectively supports business objectives and analytical demands.

As a Data Engineer, you are expected to perform independently and evolve into a Subject Matter Expert (SME).

Actively participate and contribute to team discussions and problem-solving sessions, offering innovative solutions.

Assist in optimizing data pipelines to enhance performance and scalability.

Collaborate with data analysts and other stakeholders to understand data needs and deliver tailored solutions.

A strong command of Snowflake Data Warehouse is essential for this position.

Experience in data modeling and a solid understanding of database design principles are required.

Demonstrated proficiency in ETL processes and various data integration techniques is crucial.

Familiarity with cloud platforms and effective data storage solutions is expected.

Knowledge of SQL and other data querying languages is necessary.

Candidates must possess a minimum of 3 years of experience in Snowflake Data Warehouse.

A 15-year full-time education is a prerequisite for this role.