Key skills
PythonSQLShellAIETLELTData EngineeringData WarehousingDatabricksSparkAWSAzureGitHubCommunicationCollaboration
About this role
Nexaminds is on a mission to redefine industries with AI, aiming to transform businesses and drive growth. They are looking for a Senior Databricks Engineer to lead the development, optimization, and scaling of their data solutions, particularly focusing on building and maintaining scalable data pipelines.
Responsibilities:
- Design, build, and maintain scalable data pipelines using Databricks (SQL, Python, Spark)
- Optimize ETL/ELT processes for performance, reliability, and cost efficiency
- Implement best practices for data quality, governance, and security
- Collaborate with data engineers, analysts, and stakeholders to define data requirements
- Troubleshoot and resolve issues across data workflows and distributed systems
- Support migration, modernization, or cloud data platform initiatives
Requirements:
- 5+ years of experience in data engineering or similar roles
- Strong expertise with Databricks (Spark, Delta Lake, Workflows, SQL)
- Proficiency in Python and SQL skills
- Solid understanding of cloud platforms (Azure or AWS)
- Experience with data modeling, data warehousing, and distributed computing
- Shell Scripting
- Github, JFrog Artifactory
- Excellent communication and collaboration skills
- Strong written and verbal English proficiency