4 of 4 Spark SQL Jobs in London

combat travel-based issues and advice on expected interview topics/questions. Main Duties and Responsibilities Write clean and testable code using SQL and Python scripting languages, to enable our customer data products and business applications Build and manage data pipelines and notebooks, deploying code in a structured … Promote an innovative thinking process and encourage it in others. Working within the agile framework at Chambers Skills and Experience Strong proficiency in SQL , including Spark SQL and MS SQL Server , for querying, data manipulation, and performance optimization. Hands-on experience with ...

domain experience is beneficial but not essential. Key Responsibilities Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Build and maintain ETL/ELT processes and data quality frameworks Develop consistent data models and analytics-ready datasets Partner with stakeholders to deliver … years’ experience in data engineering within enterprise environments Strong expertise in Azure Databricks, ADF, Synapse, and Azure Data Lake Hands-on experience with Spark (PySpark/Spark SQL) and orchestration Strong data modelling and data warehousing knowledge Proficiency in SQL ...

products go to production. What are the key skills/experience you'll already have? 3+ years commercial experience in Data Engineering SQL Server Spark SQL Strong Python coding skills PySpark Azure experience including Azure SQL, Data Factory and Functions Experience collaborating ...

Experience ·5+ years' experience working as a Data Engineer or in a similar role ·Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus ·Strong proficiency in Spark SQL and PySpark , including complex transformations ·Experience ...