... cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Purpose of role: Provision ...
... understanding of Gen AI use cases and their application in business environments. Experience working on enterprise-scale transformation, automation, digital, data, analytics, or AI initiatives. Experience working with Product Owners, Architects, Data Scientists, AI Engineers, or Technology Leads. Orion is an equal opportunity ...
... network-related incidents. Proactively identify and remediate system vulnerabilities, working closely with IT Security to protect sensitive payroll and employee data. Manage and resolve high-priority incidents, minimizing disruption to global operations. Strategic IT Procurement & Vendor Management Develop and oversee cost-effective ...
The ServiceNow Support Analyst is responsible for providing functional and operational support for the ServiceNow platform, with a focus on IT Service Management (ITSM) and HR Service Delivery (HRSD) modules. The role ensures stable and efficient service delivery, supports business users, manages incidents and requests, ...
... the executed Test cases [ Pass, Fail ] Any new requirements to be suggested, as identified GAP. Skills Must have Overall 7+ years of experience as a Business Analyst in the Settlement and Custody domains. Experience as a Business Analyst in the IT industry in the Finance domain. Knowledge of Capital Market activities, Financial ...
Job Description Job Role: Business Analyst Total yrs of Experience: 7yrs to 10yrs Location: Worli Job type: Hybrid - 12days from office Key Accountabilities: Primarily focussed on Systems Analysis and preparation of functional specifications / User Stories, the Business Analyst will also be responsible for contributing ...
... and goals Present analysis in an understandable and concise manner to effectively influence stakeholders (Providing synthesis and packaging of results (e.g. Data Analysis, creating charts and visuals based on data, Client Ready Power Point Presentations) Use qualitative and quantitative research methods to collect information ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... ethics and compliance requirements and embed them in day-to-day governance practice. Who you’ll work with You will join the Data and AI Foundation and lead the Data Engineering Enablement team within Novo Nordisk Enterprise IT. The team brings together AI, data and software engineers, business analysts, data architects and ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities that enable the business to use data effectively and consistently across domains. You will partner closely with product owners, data engineers, data analysts, and business stakeholders to: - Define ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...
... improving technical safeguards that protect sensitive corporate and customer data across cloud, endpoint, and enterprise environments. As a subject matter expert in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs