Description

Key Responsibilities:

• Administer, configure, optimize, and support Databricks environments.
• Design, build, and maintain scalable data pipelines and modern cloud data platforms.
• Work extensively with AWS services including S3, IAM, Glue, Lambda, and CloudWatch.
• Manage and optimize relational and NoSQL databases such as PostgreSQL and MongoDB.
• Develop automation and data engineering solutions using Python, SQL, and/or Scala.
• Implement cloud security, governance, monitoring, and performance optimization best practices.
• Troubleshoot platform issues and collaborate with cross-functional engineering teams.
• Create and maintain technical documentation and operational procedures.

Required Qualifications:

• Strong hands-on experience with Databricks administration and platform management.
• Solid experience in data engineering using AWS services.
• Experience designing and maintaining scalable data pipelines.
• Strong knowledge of PostgreSQL, MongoDB, and other relational/NoSQL databases.
• Proficiency in Python, SQL, and/or Scala.
• Good understanding of cloud security, governance, monitoring, and performance optimization.
• Excellent troubleshooting, communication, and documentation skills.

Preferred Qualifications:

• Experience with Snowflake is a plus, but not required

Key Skills

Education

Bachelor's degree