4,103 data power jobs in India.

Big Data

... Measurement solutions. - Experience selling products from leading T&M brands. - Strong knowledge of electronics T&M products such as oscilloscopes, programmable power supplies, DMMs, power analyzers , etc. - Experience working with customers in sectors such as Automotive/EV, Aerospace, Defence, Space, Data Centres, Renewable ...

... stakeholders Exposure to process transition, migration, or transformation projects Strong stakeholder management and communication skills Advanced proficiency in PowerPoint, Excel, Power BI, and data analytics tools Roles and Responsibilities: Support end-to-end execution of transformation initiatives from identification through ...

... identifying, qualifying, nurturing, and converting prospects into customers for Microsoft cloud and business solutions, including Microsoft Azure, Dynamics 365, Power Platform, Copilot, Fabric, and Power BI. This role requires strong sales prospecting skills, experience in B2B technology sales, and a passion for helping customers ...

... efficient performance. These gensets are widely used for both backup and prime power applications across manufacturing, infrastructure, commercial buildings, data centers, telecom, and other critical industries. As part of its distributed energy solutions, Jakson integrates DG sets with advanced power systems to ensure ...

Who We Are :Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 ...

... delivery management skills. Good to Have Experience with AI, Data & Analytics, Cloud, or Digital Transformation programs. Knowledge of Enterprise Architecture, Data Governance, and Cybersecurity principles. PMP, PRINCE2, PgMP, MSP, SAFe, or Agile certifications. Exposure to Power BI, Databricks, Snowflake, Azure, or AWS. ...

... through direct engagement and data analysis. SQL & Snowflake (Intermediate competency) Postman, JSON, XML, XSLT (Intermediate competency) API documentation experience Strong understanding of data integration workflows Working knowledge of Power BI and/or Tableau Prior experience in the Insurance domain is strongly preferred.

... clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and ...

... utilities. You'll work across the entire stack: building high-performance web applications that visualize time-series and geospatial data, designing scalable APIs and data pipelines that integrate weather, demand, and grid topology datasets, and productionizing machine learning models in collaboration with our power systems and ...

... and data platform teams to design robust messaging patterns that power our mission-critical applications. By maintaining the integrity and efficiency of our data pipelines, you will directly influence the speed and reliability of our business intelligence and customer-facing services, ensuring seamless data flow across ...

... parameters. - . Effective Planning and Prioritization to drive performance. - . Effectively share knowledge through timely closure of all client/quality updates. - . Data Collection and Analysis. - . Data analysis and making designated reports/decks. - . Reduce learning curve and help enhance product/process knowledge of new joinees. ...

... systems. Experience: 6 to 8 years of relevant experience in spare parts management Preferred Skills / Special Skills: - ERP and BI systems (Infor LN, ADD*ONE, Power BI or similar). - Data validation, reporting, Master data, pricing logic and knowledge of e-learning tools (PowerPoint, Articulate Storyline) - Accuracy and ...

... systems. Experience: 6 to 8 years of relevant experience in spare parts management Preferred Skills / Special Skills: - ERP and BI systems (Infor LN, ADD*ONE, Power BI or similar). - Data validation, reporting, Master data, pricing logic and knowledge of e-learning tools (PowerPoint, Articulate Storyline) - Accuracy and ...

... patient behaviour modellingHealthcare recommendation systemsMedical NLP and clinical language understandingData quality and clinical entity modellingFeatures and datasets for foundation and generative AI modelsYou will work closely with ML engineers, clinicians, product managers and data engineers to take ideas from research ...

... Applied Scientist at SAP, you'll help build the context engine grounded in SAP's Business Ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. This is an early-career role for engineers and scientists who are sharp, curious, and ready ...

... https://jobeax.com/link/ylLUYLmAnFRP3UAj Qualifications : - 5+ years of experience in data engineering and building production-grade data pipelines.- Strong hands-on experience with data platforms such as Databricks.- Solid knowledge of data modeling, SQL, Spark, and Python.- Experience with orchestration frameworks, data quality tooling, and ...

... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...

... Schema.- Strong SQL skills and understanding of database structures and query performance.- Experience working with data warehouses, data lakes, or enterprise data platforms.- Familiarity with ETL/ELT processes and data integration concepts.- Experience with data modeling tools such as Erwin, ER/Studio, PowerDesigner, or ...

... snowflake schemas), normalized databases, and data warehouse structures. Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping ...