Description:

Seeking a Databricks-certified Senior Data Engineer to design and own scalable data pipelines.
Focus on creating seamless data solutions in a collaborative environment for data-driven initiatives.

Requirements:

Minimum 5 years of experience in data engineering and a Bachelor's degree in a related field.
Databricks certification and extensive hands-on experience with Databricks and big data ecosystems.
Advanced proficiency in Python and SQL, with experience in building scalable ETL/ELT pipelines.
Strong understanding of data warehousing, Lakehouse architecture, and cloud platforms (AWS, Azure, Google Cloud).
Proven ability to mentor engineers and collaborate in fast-paced environments.

Supportive work environment with flexible hours and unlimited home office options.
Opportunities for professional development, including certifications and training.
Additional health insurance and benefits for academic teaching and speaking engagements.
Team events and knowledge-sharing sessions to foster collaboration.

Skills