1,933 data scanning jobs in India.

Role Overview :As a Lead Data Scientist, you will spearhead the development and deployment of sophisticated machine learning models that drive strategic decision-making for our enterprise clients. You will act as the primary technical bridge between complex data architectures and business stakeholders, translating ambiguous ...

... experience in data engineering with a strong track record of delivering production-grade data solutions.- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.- ...

... devices under guidance. Escalate unresolved issues to L2/L3 Network Engineers with proper documentation. Assist in patching, cabling, and hardware replacement in data centers or office environments. Ensure compliance with IT policies and maintain accurate documentation of network changes and incidents. Required Skills & Knowledge ...

... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...

... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...

... you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... data and/or other sources of data e.g. Visa data, third party etc. Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure. Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose ...

... management experience. - Must-Have Certifications: Active PMP AND CSM (Certified Scrum Master) certifications. - Tech Domain Expertise: Proven experience managing Data & AI projects, Cloud Solutions, DevOps implementations, and Datacenter/Application migrations. - Methodology: In-depth knowledge of advanced scheduling, risk ...

... health, throughput, and coverage. The role requires 4+ years of hands-on ServiceNow Discovery experience including MID Servers, Patterns/Probes, and CMDB/CSDM data quality. What you will do Design and build AI agents that continuously analyze Discovery logs, execution results, errors, and failed discoveries at scale. Develop ...

... extraction, transformation, and loading of data from a wide variety of data sources using SQL Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist ...

... - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project ...

... and guidance to engineers.2. Hands-on Data Engineering : - Contribute directly to development of data pipelines and data workflows (~3050% hands-on).- Perform data analysis and SQL-based problem solving.- Design and optimize ETL/ELT pipelines.- Work with structured and enterprise data sources including SAP systems.- Support ...

... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

... scalability Perform end to end data science workflows data collection cleaning feature engineering model training validation and monitoring Primary skills Technology Data Science Machine Learning Technology Machine learning data science Experience building and optimizing NLP systems using modern approaches e AI-Data science- Data ...

... scraping workflows for real-world use cases. Mindrift is looking for highly skilled 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, ...

... and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.- Automating data pipelines and workflows to streamline data ingestion, processing, ...

... optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition ...

... maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF...) and SQL in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, ...