Data Engineer Databricks Unified Analytics Platform y4

Job Summary:
We are looking for a skilled and motivated Data Engineer to join our team. In this role, you will design, develop, and maintain data solutions using the Databricks Unified Data Analytics Platform. You will focus on creating efficient data pipelines, ensuring high data quality, and implementing ETL processes to manage data migration and deployment across various systems.

Key Responsibilities:
Design and develop robust data solutions using the Databricks Unified Data Analytics Platform.
Build and maintain efficient data pipelines to extract, transform, and load (ETL) data.
Implement data validation and cleansing processes to ensure data quality.
Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
Migrate and deploy data across systems through optimized ETL processes.

Required Skills and Qualifications:
Proficiency in the Databricks Unified Data Analytics Platform (minimum 1 year of experience).
Strong expertise in ETL processes and tools.
Proficiency in Microsoft SQL Server, Python, and cloud services such as Azure, AWS, or GCP.
Deep understanding of data engineering principles and best practices.
Hands-on experience in designing and developing data pipelines.
Knowledge of data validation, cleansing techniques, and database management systems.

Preferred Qualifications:
Educational background in Data Engineering, Computer Science, or a related field.
Proven track record of delivering data-driven solutions.
Familiarity with data migration and deployment strategies.