2,428 data verification jobs in India.

Quality Analyst / Data Quality Analyst We are looking for a Quality Analyst / Data Quality Analyst with strong experience in SQL, database testing, data validation, data reconciliation, and data . The candidate will be responsible for validating the accuracy, completeness, consistency, and integrity of healthcare data and ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... 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 ...

... Title : SAP Datasphere and Native HANA DeveloperWork Location : Kolhapur, Hyderabad , Bangalore, Chennai, VisakhapatnamExperience : 5 to 9 yearsRequired Skills : Datasphere, Native HANA ,B4HANAResponsibilities :- 5 - 9 years on Datasphere,BW4HANA,Native HANA Modeling,Hands on experience in : - Working knowledge of Datasphere ...

... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... Key Responsibilities Lead implementation, configuration, and support for oracle content management (OCM) or similar ECM platforms. Define content models, metadata structures and taxonomies as per business needs. Manage user roles, groups, permission, and access control policies Design and implement content migration strategies(devàuatàproduction) ...

... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... implement ETL processes and work closely with BI/Data Warehousing teams. Collaborate with application developers, business analysts, and QA teams to understand data requirements and deliver optimal data solutions. Ensure data integrity, security, and compliance standards are maintained across all environments. Participate ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... transform, and validate large datasets from diverse operational systems into centralized warehouse structures.- Configure and manage scheduling for batch jobs and data pipelines to guarantee timely data availability aligned with business-day operations and service level expectations.- Analyze existing data warehousing concepts ...

... highly scalable database environments that power the Five9 platform. Key Responsibilities - Design, build, and maintain highly available, high-performing MySQL databases. - Support production databases across global data centers. - Support MySQL database replication and clustering. - Provide database reports to business units ...

... and build an exceptional experience for yourself, and a better working world for all. AI Data Protection Field Engineer Role summary We are looking for an AI Data Protection Field Engineer to help deploy, integrate, test, and troubleshoot AI-enabled data protection solutions for global clients. This is a hands-on engineering ...

Job Title: Data Analyst Trainer Role Overview Looking for an experienced Data Analyst Trainer with 3–4 years of relevant experience and strong expertise in data analytics, business intelligence, programming, machine learning, and Generative AI. The ideal candidate should have a proven track record of conducting training ...

... Strong experience in bring-up, including board initialization, power-on sequences, processor boot, and system-level debug for both pre- and post-silicon phases.- Datapath Validation : Ability to understand and validate complex datapath flows of the controller, create datapath scenarios in SoC verification environments, and ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... Ensure proper documentation of all inward and outward materials in coordination with the ERP system. Maintain accurate stock levels through periodic physical verification and reconciliation with system data. Supervise loading and unloading activities ensuring proper handling and safety of goods. Monitor and maintain optimal ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...

... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...