6 of 6 Remote/Hybrid Delta Lake Jobs in the Midlands

batch data ingestion solutions using Azure Event Hubs, Kafka, Databricks Structured Streaming and Azure Stream Analytics Developing and maintaining modern data platforms, including Delta Lake/Lakehouse architectures on ADLS Gen2, curated datasets, dimensional models and Azure Synapse Dedicated SQL Pools Analysing current business practices, processes and procedures … essential with a regulated environment is essential Significant experience with data solution design experience in an MI/BI/Analytics environment (Kimball, lake house, data lake) is essential Significant experience using: Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake, Datra bricks, Purview ...

problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure. ...

problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure. ...

will build robust ETL/ELT pipelines with Azure Data Factory, Synapse and Databricks, design real-time and batch ingestion, and modern data platforms (Delta Lake, lakehouse, ADLS Gen2). Hybrid-working is offered. #J-18808-Ljbffr ...

command-line and Unix/Linux skills. Experience working with cloud platforms, ideally Microsoft Azure. Experience using technologies such as Spark, Databricks and data lake architectures. Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake. Experience with containerisation and orchestration technologies, including Docker ...

command-line and Unix/Linux skills. Experience working with cloud platforms, ideally Microsoft Azure. Experience using technologies such as Spark, Databricks and data lake architectures. Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake. Experience with containerisation and orchestration technologies, including Docker ...