... intelligent data experiences—data agents, conversational analytics, and grounded insights—built on governed Datasphere models and integrated enterprise sources. SAP Datasphere is positioned as a data warehousing solution with integration capabilities. AI Native Data Product Engineering (on Datasphere) Design and implement governed ...
... Rapidly inventory and assess the acquired company's product, data, and process stack (applications, data models, APIs, our platforms and processes, including data entities/attributes, interface best-path actions aligned to business outcomes, risk, cost, and timeline. ~ stories, data contracts, and interface specifications; ...
SAP Datasphere Consultant Start Date Starts Immediately CTC (ANNUAL) Competitive salary Competitive salary Experience 5 year(s) 5 year(s) Apply By Not Provided Posted 2 weeks ago Job Be an early applicant About the job Tasks - Supporting and developing data models and dataflows within SAP Datasphere and SAP HANA, with 5+ ...
... dashboards.- Integrate data from multiple sources such as SQL Server, Oracle, SAP, Excel, REST APIs, and cloud databases.- Optimize application performance, data refresh schedules, and dashboard responsiveness.- Implement security rules, section access, and data governance best practices.- Troubleshoot data quality and ...
... Reltio, Informatica, DataBricks, Azure, Oracle, and Snowflake.- Strong expertise in data integration, ETL processes, and API development.- Solid understanding of data governance, quality management, and compliance standards.- Experience working with multiple data sources, country-specific data models, and life sciences MDM ...
... experience in Migration Project. Legacy to S4 HANA or ECC to S4 HANA- SAP S/4 HANA data migration expertise in SAP Sales and Distribution Master / transaction Data including customer master (BP), Routes, Route Determination, Pricing conditions, rebates, Customer credit Data, customer material info-records etc.- Experience ...
... experience with Epic Cogito Suite Reporting Workbench (RWB) report development Radar Dashboard design and maintenance Slicer Dicer data exploration and analytics Epic data models and reporting architecture Data & Analytics Strong SQL development skills Data analysis and troubleshooting ETL and data integration concepts Data quality ...
... into reliable datasets, and build dashboards that help leaders act? This role is a unique blend of corporate finance partner, advanced financial modeler, and data analytics builder. You won’t just analyze financial outcomes; you will work hands-on with data pipelines, transform source data into decision-ready datasets, ...
Job Type: Permanent Department Enterprise Data & Analytics Team Level Grade-2 We're proud to have been helping our clients build better financial futures for over 50 years. So, join our Data Value team and feel like you're part of something bigger. Enterprise Data and Analytics team comprises of Fidelity's MI and Analytics ...
8+ years of hands-on experience in data architecture or data engineering, including at least 4 years focused on the Microsoft/Azure data ecosystem - 3+ years of hands-on experience with Power BI semantic model design, including Tabular models, DAX, and dataset performance tuning - 1+ years of hands-on experience with Microsoft ...
... to surface executive-level insights ETL Pipeline Governance: Supervise the development and continuous execution of data pipelines using SSIS, SSAS, or modern data orchestrators Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity. ...
... community. 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able to ...
... optimization (DPO, 1x centralization). - Lead a team of specialists/analysts and drive portfolio execution against business targets for these pillars: - o Master Data & Vendor Master: Standardize and govern supplier, vendor, item, and contract master data; own data quality, validation rules, and de-duplication to maintain a ...
... About the Role As a BI Developer at Stolt-Nielsen, you will transform raw data into actionable insights that empower our business teams. You'll build robust data models, design intuitive Power BI dashboards, and maintain reliable data pipelines using Databricks and SQL. A key part of this role is advanced report development ...
... https://jobeax.com/link/89FZsz5hbfdNxv7l Proficiency In :- Power BI Desktop and Power BI Service- DAX (Data Analysis Expressions)- Power Query (M Language)- SQL and database concepts- Data modeling and ETL processes- Experience with data warehouses and large datasets.- Experience of Row-Level Security (RLS) and data governance.- ...
... transactions, markets, news, and more. Data Management: Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness. Data Validation: Take control of our data products, utilizing human-in-the-loop data curation and validation ...
... secure, and high-performance data pipelines and analytics layers (cloud-native) - Establish architecture standards, design patterns, and best practices across data ingestion, processing, storage, and consumption layers - Drive adoption of modern data stack (e.g., cloud data platforms, data lakes/lakehouse, orchestration, ...
... Much of our work sits around the systems that produce signal and sensor data — building the software that generates, validates, analyses, and visualises that data at scale. The common thread is volume under time pressure, and interfaces that let operators and analysts act on what they are seeing immediately. We're looking ...