... various functions to ensure that data meets their reporting and analysis needs. - Experience in creating Various ETL Frameworks in processing or extracting the data from cloud databases by using AWS Services by leveraging Lambda, Glue, PySpark, Step Functions, SNS, SQS and Batch. - Proven ability to be a strategic thinker ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves ...
... systems: backend services plus frontend UIs for configuration, human-in-the-loop review, observability, and workflow execution. Develop and integrate APIs/services : design and implement RESTful (and/or event-driven) integrations to serve models, agents, features, and data products. Build scalable data pipelines with Apache ...
Job Description :We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, ...
... experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics - AI Data Platform Engineer - Snowflake - Senior EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional ...
... modular Python code, reusable analytic functions, and maintainable data pipelines. - Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to ...
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...
... experience Talents Needed for Success: - 7-15 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing ...
... Consulting - AI And DATA - Data Modeler – Senior EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated ...
... communication skills, with the ability to convey complex data concepts clearly to various stakeholders. Strong domain knowledge of investment banking and financial data. - 4-10 years of experience in the financial services industry, preferably in investment or asset management. - Hands-on experience in data analysis and profiling ...
... locations and dealer workshops Train dealer technicians and service staff on technical updates and service procedures Maintain service records, reports, MIS data, and customer feedback documentation Ensure customer satisfaction through effective service support and relationship management Support installation, commissioning, ...
... modeling techniques - Experience working with structured, semi-structured, and metadata-driven datasets - Knowledge of data quality, data governance, and metadata management principles - Experience collaborating with technical and business stakeholders in enterprise environments Experience in financial services, investment ...
... architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure : Leverage AWS services (e.g., S3, Redshift, ...
... Data Science platforms (Spark ML , H2O , KNIME ) - Python, Java, Scala - DevOps, Continuous Delivery, and Agile development - Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus - Experience working in a Software Product Development environment is a ...