... model training, evaluation, deployment, monitoring, and optimisation. Ensure data quality, integrity, governance, and responsible AI practices throughout the analytics lifecycle. Stay informed about emerging developments in machine learning, data science, Generative AI, and analytics methodologies, and apply relevant innovations ...
... and methodologies. Understanding impact analysis and solution design. Knowledge of project management tools (e.g., Experience with presentation tools (e.g., Database and System Integration: Understanding database management systems (DBMS). Knowledge of referential data and its impact on applications. Familiarity with staging ...
... https://jobeax.com/link/EjqRkAlTvrlvAdin : BengaluruYour Future Employer : A globally recognized technology consulting organization delivering advanced AI, analytics, and data engineering solutions for leading enterprises across https://jobeax.com/link/BuX6DV6RyN15cKVI : 1. Design, develop, and optimize ETL/ELT pipelines ...
Sr CPQ Business AnalystJob Description:- Minimum 10+ years of IT/business consulting experience, including 2 or more successful Oracle CPQ Cloud (BigMachines) implementation or transformation projects.- Strong functional understanding of Oracle CPQ Cloud capabilities across product configuration, pricing, discounting, quoting, ...
... You will collaborate closely with cross-functional teams including Analysts, Data Scientists, SREs, and other engineers, focusing on delivering high quality data products that foster a culture of engineering excellence. Architect, design, and implement high-performance data pipelines and ETL processes to support large-scale ...
Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...
About the Role : We are currently looking for an experienced IT Project Manager - Business Analyst to lead freshly and soon to be signed https://jobeax.com/link/kIo3GCdkxk6dgYqi Responsibilities : - Lead long-term projects respecting deadlines, budgets, functional scope and quality of deliverables- Tailor the offer - solution ...
... develop, and maintain scalable ETL/ELT data pipelines on GCP.- Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.- Develop data processing workflows using Python, SQL, and Spark/PySpark.- Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, ...
Job Responsibilities: Execute all design and engineering activities within the company. Play significant role in new designs from the concept stage to the development of prototypes through to finished products ready for manufacture Ensure design projects are completed on time and within budget.
... Microsoft Fabric, Databricks, or Snowflake. Enable business analytics and self-service reporting through Power BI and other visualization tools. Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions. Implement and enforce best practices for data governance, data ...
... program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. As a GIS Consultant/Analyst, you will apply your knowledge of Geographic Information Systems (GIS), spatial data and database management to support the delivery of a diverse range of projects. ...
... mentoring junior resources, and contributing to organizational https://jobeax.com/link/dZl2Pf8ll7nNVerR : BengaluruYour Future Employer :It is a global AI and analytics company specializing in data-driven solutions, advanced analytics, data engineering, governance, MLOps, and AI-powered/Generative AI solutions. Founded in ...
... will be responsible for designing, implementing, and optimizing scalable data models, pipelines, and data architecture to support enterprise-level analytics and data warehouse https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and maintain conceptual, logical, and physical data models for enterprise data platforms.- ...
... 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, ...
... convey a clear understanding of the unique needs of different audiences. Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem ...
... https://jobeax.com/link/JSd7UYCSg572jJDY and integrating them into production https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Design and implement AI-powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.- Orchestrate LLMs to automate data manipulation, validation, and cross-referencing ...
... with little supervision. - Excellent verbal and written communication skills. - This role requires good client-facing skills. - Proven experience as a Business Analyst in the alternative asset and capital market with a focus on Private Credit and Private Equity Fund Operations. - Strong Expertise in using SQL for data analysis. ...
... and analytical thinking, and continuously adapt as technologies evolve , must drive an AI first sense of purpose and urgency. The Senior Regulatory Affairs Analyst is responsible for supporting Clinisys' global regulatory affairs activities to ensure ongoing compliance with applicable healthcare, medical device, software, ...
... data sources.- Collaborate with data scientists, analysts, and other engineering teams to define data requirements and ensure the availability and quality of data for analytics.- Develop and manage automated processes for data integration, cleansing, and transformation.- Work with large-scale datasets and optimize data ...