... maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF...) and SQL in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
Post: Data Entry & Vendor Management Executive Female candidates preferred Responsibilities: • Data entry and ERP record updates • Vendor follow-up for material, production and delivery • Purchase and production follow-up • Preparing Excel reports and maintaining documents • Coordination with vendors and internal departments ...
... Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real-time using cloud-native technologies. Implement data validation and quality checks to ensure ...
... or enterprise intelligence. - Knowledge of SAP’s domains, data models, metadata structures and core business processes end-to-end. - Experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
... embraces learning and development The Role The VDBA Support Team Member is the first level support to VDBA clients. The VDBA Support Team Member will monitor client databases. Where alerts or support requests are received the VDBA Support Team Member will follow company process to investigate and if possible, be the initial point ...
... analytics team. A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. In ...
... opportunities. Ensuring product quality through unit, functional, and system tests in collaboration with automation engineers. Creating and maintaining comprehensive data model designs. rack record of building and delivering solutions based on a solid understanding of customer needs. Results-driven, hands-on approach to the full ...
... - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project ...
... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...
... duties as assigned. Key Result Areas: - Accuracy - Efficiency - Data Integrity - Compliance Competencies (Skills essential to the role): - Proven experience as a Data Entry Operator or similar role will be prefered. - Proficiency in Microsoft Office Suite (Word, Excel, etc.) and data entry software. - Strong attention to detail ...
... architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries. Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. ...
Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...
... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...
... infrastructure upgrades, and architectural improvements to enhance system performance and efficiency. Capacity Planning and Scaling: Scale resources (servers and databases) based on usage patterns and anticipated growth. Create and maintain comprehensive documentation for configurations, procedures, incidents, and best practices. ...
... implementing enterprise-grade data solutions. - Extensive experience designing and delivering Data Lakes, Lakehouse Architectures, Data Warehouses, and Real-Time Data Platforms, along with a strong understanding of data modeling, governance, security, metadata management, data quality, and data lineage. - Proven ability to ...
... improving and maintaining new and existing databases to help users retrieve data https://jobeax.com/link/bpUDbLzR6pBwS6XN : - Design stable, reliable and effective databases- Optimize and maintain legacy systems- Modify databases according to requests and perform tests- Solve database usage issues and malfunctions- Liaise with ...
We are seeking a highly skilled L3 Database Administrator with strong expertise in SQL Server and PostgreSQL to manage, support, and optimize critical database systems. The role involves advanced troubleshooting, performance tuning, cloud database management, and ensuring high availability and disaster recovery for production ...