Description

You will work with Databricks and AWS to manage data workloads and cloud infrastructure.

Responsibilities

• Write and tune complex SQL queries to ensure optimal performance.
• Implement data warehousing, data modelling, and data lake architectures.
• Manage data pipelines using Databricks CLI (Dbx) on AWS.
• Execute DevOps, CI/CD, orchestration, and automation workflows.
• Utilize Azure services including Data Lake Storage, SQL Database, and EventHub/EventGrid.

Required Skills

• 9-12 years of professional experience in data engineering roles.
• Hands-on expertise with Databricks and Dbx (open-source CLI).
• Strong experience with AWS environments.
• Proficiency with Databricks or Snowflake on Azure Cloud.
• Deep knowledge of Azure SQL Database and Azure EventHub.
• Strong understanding of data modelling and data lake concepts.
• Experience working within Agile methodologies.
• Background in DevOps, CI/CD, and automation.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate