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

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