7 of 7 Remote/Hybrid Permanent Spark SQL Jobs

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema ...

hands-on role. What You’ll Be Doing: • Designing and building end-to-end data pipelines using Databricks (PySpark/SQL/Delta Lake) • Developing and managing robust, scalable Lakehouse architectures • Implementing Delta Live Tables (DLT) for reliable, testable, production-grade pipelines • Optimising performance using: • Working with Unity … Data Scientists, Analysts, and Platform teams to improve developer experience and platform usability Key Skills & Experience: • Strong experience building pipelines with PySpark/Spark SQL • Deep understanding of Delta Lake • Databricks Platform Expertise • Hands-on experience with: Unity Catalog (governance & security), Spark Declarative Pipelines ...

Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing CI/CD pipelines (Azure DevOps, branching/merging, automation). Solid knowledge of data governance, lineage, access ...

Databricks in enterprise-scale environments. Strong knowledge of Delta Lake , Medallion architecture, distributed compute and Lakehouse engineering patterns. Advanced Python, PySpark and Spark SQL skills, including deploying data workloads through Azure DevOps CICD , branching/merging and automated testing. Solid understanding of data governance, lineage, access ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...