2,152 offline data entry jobs in India.

Computer Full time Part time Work at office Remote job

About the role — We are seeking a detail-oriented Remote Data Entry/Customer Service professional to manage customer inquiries and ensure accurate data entry. This role requires strong typing skills and proficiency in MS Office to support our customer service objectives. Key responsibilities : - Perform accurate data entry ...

... and detail-oriented Remote Administrative Assistant – Data Entry to support our administrative and data-management operations. This position combines accurate data entry with general administrative responsibilities, including maintaining electronic records, updating spreadsheets and databases, processing documents, managing ...

... with identifying duplicate or outdated records. - Perform routine data-quality checks. - Support database cleanup and reconciliation activities. - Prepare basic data summaries when requested. DOCUMENT PROCESSING - Review incoming forms and documents for completeness. - Extract required information for data entry and record ...

US Hospital Form Filling Process Opportunity We are from VData Tech Madurai having our new process: US Form Filling, available for both single system and bulk systems at centers. Project Details: - Data Volume: 3000 data entries over 15 days (including Sundays) Agreement Duration: 11 months - Requirements: Laptops or systems ...

... organized Data Entry Executive to join our team. The ideal candidate should have excellent typing skills, a high level of accuracy, and the ability to manage data efficiently while maintaining confidentiality. Key Responsibilities Enter, update, and maintain data in spreadsheets, CRM systems, and company databases. Verify ...

... call support days: 12:30pm-9:30pm Requirements - Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents - Python - Must have - Databricks - Must have - Unity Catalog - Must have - ADLS - Must have - Spark - Must have - Job Orchestration (Airflow) - Must have - Data pipeline Architecture and ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... SAC planning capabilities.- Experience enabling bi-directional integrations between SAC and Datasphere using SAP APIs and integration services.- Exposure to Datasphere integration patterns leveraging Azure Data Lake as an enterprise source-of-truth platform.- Experience evaluating, selecting, and implementing Datasphere ...

... seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into https://jobeax.com/link/49uyUi7EOndfzpBw ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... or Urdul; additional local languages are an advantage. Organizational and documentation skills, including maintaining case records, event reports, and basic data entry. Comfort working in field settings, traveling within Chennai, and collaborating with volunteers, healthcare professionals, and partner institutions. Prior ...

... Designing, building, and operating batch and streaming data pipelines - Developing high‑throughput, low‑latency data processing systems - Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads - Building and maintaining cloud‑native data solutions on AWS - Using dbt for data transformation, ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

About the Role: As a Data Scientist, you'll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... Responsibility for supporting ongoing information security compliance initiatives, including policies and standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the review and approval of technology in relation to information security risks, including ...

... intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to drive measurable data growth, improve data coverage, and support strategic onboarding initiatives. If you enjoy solving complex data challenges, building strong relationships, and ...

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