If you love data platforms, dashboards, and the occasional noble battle with messy source systems, this one is for you. We are looking for a Senior Data & Business Intelligence Specialist who can turn spreadsheets, APIs, and
Key Responsibilities Design, build, and maintain scalable data pipelines that extract, transform, and load data from multiple sources into centralized platforms such as data warehouses, lakehouses, and operational databases. Develop and manage end-to-end data workflows using
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based transformations
Strong experience in databases, tools and methodologies Microsoft SQL Server, Oracle,Azure Technologies such as Azure SQL, Azure Databricks, Unity Catalog, Spark, Azure Data Factory, Azure Storage, Azure Data Lake, Azure Synapse, Azure Purview Data Analysis, Data
Role Summary We are looking for a Mid-Level Data Engineer to support the delivery of modern cloud-based data solutions within the Oil & Gas industry. This role focuses on building scalable data pipelines, implementing lakehouse architectures,
Job Summary We are looking for a Senior Data Engineer to lead the design, development, and optimization of scalable data platforms and pipelines. This role is hands-on and requires strong experience with Databricks, Python (Spark), SQL, and cloud
Job Responsibilities: Assist in building data ingestion, transformation, and integration pipelines using Azure data engineering tool sDevelop basic ETL/ELT components under the guidance of senior team member sSupport the creation and maintenance of data lakes, data warehouses,
Roles & responsibilities Contribute to the development of data ingestion, transformation, and integration pipelines on Azure Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services Participate in building and
Work ScheduleOther Environmental ConditionsOffice Job Description Summarized Purpose: We are offering an opportunity for a Mid-Level Data Engineer to design, build, test, tune, and support production data pipelines using PySpark, Python, advanced SQL, AWS data services, secure data