15 of 15 Spark SQL Jobs in the North West

responsible for automating ETL workflows that feed into machine learning features, enhancing the efficiency and accuracy of ML models. Responsibilities: Develop and maintain SQL models and macros using DBT Collaborate with stakeholders to gather and refine modelling requirements Debug and enhance existing data models Design and implement ETL … Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of experience with Databricks (including Lakehouse, Delta Lake, PySpark, Spark SQL) Strong proficiency in SQL with 5+ years of experience Extensive experience with Azure Data Factory Proficiency in Python programming More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯

hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform More ❯