2,534 office data entry jobs in India.

... and Suppliers on component selection. Update product BOMs, ensuring compliance with production schedules. Manage Master Items BOMs in Oracle as ODIS, handling data entry, maintenance, and structure naming conventions. Enhance Oracle processes for part creation, BOMs, and configuration management. Ensure accurate, consistent ...

Private Work at office Immediate start Remote job Home office Flexible hours

... The role will be part of the GDS Data Protection team and sit in GDS General Counsel’s Office (GCO). GDS GCO partners with GDS Risk Management to run the GDS Data Protection program. Your key responsibilities The Supervising Associate within GDS Data Protection team will assist in driving aspects of the GDS Data Protection ...

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 ...

... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...

... orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate. - Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory. - Strong knowledge of dimensional modelling, analytical structures and data-modelling trade-offs. ...

... and connect engineering initiatives to business value. High accountability, resilience, adaptability, and a strategic approach to driving innovation and modern data practices across a fast-moving organization. Hybrid Work: Flexible hybrid work arrangement combining remote and office-based work. Annual Leave: 26 calendar days ...

Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...

... hiring and developing top talent and build career development road-map for the associates. Lead, motivate, and manage a team of 20-25 associates engaged in ML data annotation operations from virtual or work-from-office spaces scale and transition across 2-3 programs based on business needs - Ensure process deliverables per ...

... Data Factory or equivalent. Data Handling: Expertise in data engineering, including data cleaning, transformation, and preparation for analysis. Knowledge of data modelling, database design, and data architecture principles. Data Quality: Proven experience in data quality management, including data cleansing, validation, ...

Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...

Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...

... Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms. Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges ...

Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...

... learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

... sustainability sectors. Position: Senior Android Developer Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...

... and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse ...

Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...

... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...