Key skills
PythonScalaSQLAIETLELTData EngineeringData WarehousingDatabricksSparkAWSAzureGCPCommunicationCollaboration
About this role
Nexaminds is on a mission to redefine industries with AI and is seeking a Senior Data Engineer to lead the development, optimization, and scaling of their data solutions. The ideal candidate will have hands-on expertise in building end-to-end pipelines and will work in a collaborative environment to enhance data processes.
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)
- Experience building production-grade ETL/ELT pipelines
- Proficiency in Python and/or Scala
- Solid understanding of cloud platforms (Azure, AWS, or GCP)
- Experience with data modeling, data warehousing, and distributed computing
- Excellent communication and collaboration skills
- Strong written and verbal English proficiency