13 of 13 Remote Spark SQL Jobs

scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting ...

documentation, and deployment of configuration changes Develop and support integrations using Node.js Support related data integration work using Python, AWS Glue, PySpark, and Spark SQL as needed Support production issues as needed Primary Requirements: Approximately 3-4+ years of relevant experience Strong hands-on experience … code configuration and API support Desired Skills: Direct Newgen platform experience Healthcare provider-domain experience Experience with Python, AWS Glue, PySpark, Spark, and Spark SQL If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing ...

support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication … SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark/Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse ...

within the healthcare industry. The ideal candidate will build ETL/ELT processes to support enterprise analytics, working with large datasets using Python, SQL, and distributed computing technologies like Spark on the AWS platform. Key Responsibilities: Design, develop, and maintain scalable cloud-based data pipelines … collaborate with cross-functional teams throughout the software development lifecycle Primary Requirements: 5+ years of professional data engineering experience Strong Python and SQL skills with experience developing scalable ETL/ELT pipelines Experience processing large datasets using Spark, PySpark, Spark SQL ...

platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured … semi-structured and unstructured data sources. Migration and modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation ...

PySpark Developer Location: Irving, TX (Hybrid 3 Days Onsite) Experience: 7+ Years Job Type: Full-Time Required Skills: PySpark, Python, Apache Spark, SparkSQL, Hadoop, SQL, Unix/Linux, Shell Scripting, and Apache Airflow. Interested candidates, please DM me or share your updated resume. VITS Consulting ...

Databricks) Leeds (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) Data Engineer needed with strong hands-on Databricks, PySpark, AWS, SQL + Python experience. 6 Month Contract based in Leeds (Hybrid). Start ASAP in October 2026. Hybrid Working Model - primarily working from home with … work with a leading global IT transformation on a large-scale Government project: Data Engineer with strong Databricks, AWS, Python, PySpark + SQL skills. Hands-on Data Engineer to run + maintain production data pipelines on Databricks and AWS. Keeping scheduled data processing reliable, resolve incidents, fixes + ...

work with a leading global IT transformation on a large-scale Government project: Data Engineer with strong Databricks, AWS, Python, PySpark and SQL skills. Hands-on Data Engineer to run + maintain production data pipelines on Databricks and AWS. Keeping scheduled data processing reliable, resolve incidents, fixes + … role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...

your duties, you will be responsible for: Design, build and deploy scalable data pipelines using Azure Databricks , Azure Data Factory and Azure SQL Database . Optimise Databricks environments for performance, cost and security. Develop and maintain data integration , ETL/ELT processes and data quality frameworks. Translate retail … environments. Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse and Azure Data Lake. Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design and data pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with ...

migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ...

migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ...

migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ...

migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ...