Summary:

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions using the Databricks Unified Data Analytics Platform. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.

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.