Data Engineer with Databricks
2 weeks ago
You might be our missing piece if you have:
- 5+ years of experience in data engineering, database development, and cloud-based data solutions.
- Strong proficiency in SQL and database technologies (SQL Server, PostgreSQL).
- Proficiency in Azure Databricks, with advanced PySpark development skills.
- Hands-on experience with ETL tools and frameworks, including Azure Databricks and Azure Data Factory.
- Experience with data modeling, data integration, and data warehousing concepts.
- Cloud experience with Microsoft Azure services, including Azure Databricks, Azure Data Factory, and Azure DevOps CICD.
- Knowledge of data governance, quality frameworks, and security best practices.
- Experience working in Agile development environments.
We would be thrilled if you have:
- Experience with document and data processing techniques for building knowledge bases optimized for Retrieval-Augmented Generation (RAG) pipelines.
- Proficiency in Infrastructure as Code using Terraform, with expertise in the Databricks Terraform provider.
We will be working together on:
- Collaborate with AI Engineers and Data Scientists to build knowledge bases for conversational assistants.
- Develop and maintain document ingestion jobs and ETLs for ingesting different data sources into a knowledge base for use within AI agents.
- Support data governance and quality frameworks to maintain data integrity and compliance.
- Provide technical guidance on data integration, transformation, and analytics.
- Build Azure Databricks dashboards for product teams.
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