Databricks Unified Analytics Platform Data Engineer

Roles & Responsibilities:
- Design and develop data solutions using the Databricks Unified Data Analytics Platform.
- Create and maintain data pipelines to extract, transform, and load data.
- Ensure data quality by implementing data validation and cleansing processes.
- Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
- Implement ETL processes to migrate and deploy data across systems.
Professional & Technical Skills:
- Required Skill: Proficiency in the Databricks Unified Data Analytics Platform.
- Additional Must To Have Skills: Experience with Extract Transform Load (ETL), Microsoft SQL Server, Python (Programming Language), Cloud Services like Azure, AWS and GCP
- Strong understanding of data engineering principles and best practices.
- Experience in designing and developing data pipelines.
- Knowledge of data validation and cleansing techniques.
- Familiarity with ETL processes and tools.
- Experience with data migration and deployment.
- Proficiency in SQL and database management systems.
Additional Information:
- The candidate should have minimum of 1 years of experience in the Databricks Unified Data Analytics Platform.
- The ideal candidate will possess a strong educational background in data engineering, computer science, or a related field, along with a proven track record of delivering data-driven solutions.