Description

You will be a Data Engineer responsible for building and maintaining data infrastructure.

Responsibilities

• Design and deliver system architecture and application features using Databricks.
• Develop and implement reusable ETL frameworks following best practices.
• Ensure operational stability and advanced features of data pipelines.
• Implement automation and continuous delivery methods across the SDLC.

Required Skills

• 10+ years of experience in data engineering.
• Expertise with Databricks and AWS Glue.
• Hands-on experience designing and developing systems on Databricks.
• Advanced proficiency in data processing frameworks, including Parquet and Iceberg.
• Proficiency in PySpark.
• Working knowledge of CI/CD and Application Resiliency principles.
• Practical experience with cloud-native environments.
• Solid understanding of the Software Development Life Cycle.

Preferred Skills

• Databricks Certification.
• AWS Certification.

Key Skills

Education

Any Gradute