AI Testing Lead
and disciplined documentation Nice to Have Experience with Snowflake, Databricks or Azure Exposure to LLMs, NLP or retrieval...
and disciplined documentation Nice to Have Experience with Snowflake, Databricks or Azure Exposure to LLMs, NLP or retrieval...
Science or other related STEM discipline (Bachelors, Masters) Experience in leading complex data migrations to Databricks...
Join a dynamic team dedicated to leveraging data for impactful insights. We are seeking a Databricks Data Engineer... to join a prominent team within a key client's Microsoft B.I. and Databricks division. This Hybrid role is based in Manchester...
intervention. Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau...
: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes... technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream...
Databricks Data Engineer - Manchester Are you an experienced Data Engineer with a passion for building scalable data... solutions? We're looking for a Databricks expert to join a leading organisation in Manchester and play a key role...
, PostgreSQL;MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift). Semantic Layer: Design and implementation...
and contribute to the development and maintenance of their cutting-edge Azure Databricks platform for economic data. This platform... engineering, with at least 3+ years of hands-on experience with Azure Databricks. Good proficiency in Python and Spark (PySpark...
and Databricks, build and maintain robust ETL pipelines for data transformation, and optimise data processing jobs for performance... passionate about using data to make an impact. Significant experience with Azure Data Factory, Data Lake, Databricks and SQL...
Pulls from ER data using Azure MSSQL, Databricks, and Salesforce based on stakeholder or vendor requirements. Extract..., transform, and load (ETL) data from vendor sources such as SFTP or portals into Azure MSSQL and subsequently into Databricks...