Senior Data Engineer( DataBricks & Snowflake) at Andishi

• Job Type Full Time
• Qualification BA/BSc/HND
• Experience 4 years
• Location Nairobi
• Job Field Data, Business Analysis and AI , ICT / Computer
• Managing and optimizing Databricks workspaces, configurations, permissions, and performance.
• Developing and maintaining reliable ETL/ELT workflows and data processing pipelines.
• Working with Snowflake to support data integration, transformation, and storage.
• Designing scalable data architectures for efficient processing and analytics.
• Handling data migrations between platforms while maintaining data integrity.
• Identifying and resolving pipeline failures, performance issues, and data quality problems.
• Improving automation, monitoring, and operational efficiency.
• Testing solutions, documenting implementations, and delivering production-ready work.
• Strong hands-on Databricks administration experience
• Python and advanced SQL
• Apache Spark / PySpark
• Snowflake
• Data engineering and ETL/ELT development
• Data migration and pipeline optimization
• Experience with AWS, Azure, or GCP
• Troubleshooting and performance tuning
• Apache Airflow or Kafka
• Terraform and CI/CD
• Docker or Kubernetes
• Scala
• Data governance and access control
• Cloud infrastructure automation
• Configured and optimized Databricks environments
• Functional and tested data pipelines
• Reliable integrations with required data platforms
• Completed data migration tasks with validation
• Resolved performance and reliability issues
• Documented architecture, configurations, and workflows
• Source code, test results, and deployment instructions
• Final technical handover
• You should have at least 4 years of relevant experience and a strong background in production data engineering.
• We're especially interested in developers who have worked with complex data environments, can troubleshoot independently, and understand how to build maintainable, high-performance solutions.
• You should be comfortable working remotely, communicating progress clearly, and delivering agreed milestones without constant supervision.
• Your experience with Databricks and Snowflake.
• One or two examples of similar projects you've completed.
• Your preferred hourly rate or project-based pricing.
• Your availability and estimated weekly capacity.