... strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks ...
... oriented person. - 2-5 years’ work experience in Sales function, Bid Support, handling pre-sales support functions to assist in pre-bid/RFP/RFI/ opportunity process. Knowledge about techno-commercial terms, various documentation, basic sales cycle/processes and other related functions. - Knowledge & hands on experience ...
... in shared data. Lead data governance and compliance activities - Support the implementation of data governance policies, standards, and practices across the data platform. - Maintain metadata, data lineage, and business classifications — working with tooling such as Microsoft Purview to ensure the data catalogue is accurate ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... accommodate structured, semi-structured, and unstructured data. Design standardized data ingestion processes with automated error handling, retries, and alerting. Data Quality, Monitoring, and Governance: Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers. ...
... implementation, and continuous improvement of end-to-end data platform architecture using modern Azure cloud technologies including Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric (Lakehouses and Warehouses).- Build scalable, reliable ELT/ETL pipelines to ingest, process, and transform data from multiple ...
... global corporate card programme transformation initiatives in partnership with banking providers, Treasury, Procurement, and Finance stakeholders. Identify process inefficiencies, control gaps, and improvement opportunities through data analysis, benchmarking, and stakeholder engagement. Support deployment of global operating ...
... Impact Build and evolve the Snowflake-based data platform as the foundation for analytics, AI and business solutions. Explore and understand complex business processes, source systems and data landscapes to identify valuable data assets. Transform fragmented data into trusted, reusable and governed data products that can ...
Role: Colloid Product Development Engineer for Lubricants - Gothenburg Location: Nol / Gothenburg Area Focus Product Development For Lubricants & Greases Type Permanent Career Salary: 50K to 70K SEK Salary Work Hybrid in Nol HQ 3 days week Skills: degree Edu / R&D Experienced / Colloid Product Development &
Process and Communication Trainer Job Summary: We are seeking a dynamic and detail-oriented Process and Communication expert to support our technical support operations. This dual-role professional will be responsible for strengthening communication effectiveness among technical support agents and ensuring high-quality ...
... plants, hydrogen, CCUS and in general with energy transition projects Lead the process engineering team to deliver detail design services. Develop and review Process Flow Diagrams (PFDs), P&IDs, Heat & Mass Balance (HMB) and utility consumption calculations. Perform process simulations (using tools such as HYSYS, Aspen Plus ...
... role involves developing an environment focused on productivity and quality. Your leadership will be key in fostering a high-performance culture and leading process improvements. Provide supervision and leadership to staff during shifts. Support recruiting and hiring needs. Manage performance metrics for team and site success. ...
... platforms.- Strong command of Agile/hybrid delivery, program governance, RAID management and executive reporting.- Practical technical fluency across cloud, data platforms, APIs/integration, DevOps and modern software engineering practices.- Strong executive presence with the ability to influence senior client and internal ...
... Experience with Power BI/Tableau and modern data platforms such as Snowflake and/or Databricks. - Strong knowledge of statistics, experimentation design, forecasting, data modeling, and data quality practices. - Experience translating business needs into metrics, dashboards, analytical products, and executive-ready insights. - Experience ...
... exceptional customer https://jobeax.com/link/Pbn4lQC1L4k8wFDg team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale https://jobeax.com/link/95FjFQQxFCFXlCQv You'll Do :Role Summary :As a Senior Data Scientist, you'll ...
... and maintain data pipelines (ELT) using Databricks, Delta Live Tables, and Databricks Asset Bundles, according to business and technical requirements. • Manage data workflows and orchestration; ensure accuracy and availability of all ELT processes. • Design and deliver silver/gold layer data models within the medallion architecture ...
... basic requirement discovery before site surveys. Site Visits & Surveys Coordinate and attend site visits along with Operations / Technical teams. Ensure all site data is documented accurately for estimation and proposals. CRM, Reporting & Process Adherence Maintain accurate data in CRM / trackers (leads, site visits, quotes, ...
... (STED) - Medical device development (including SW) and Software engineering best practices - Agile methods / TIR45 - Experienced in end-to-end AI lifecycle processes, including data management, model development, validation, deployment, monitoring, and change management. - Supports teams in implementing AI governance practices, ...