1,845 data labelling jobs in India.

... 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, ...

... for enterprise applications Contribute to technical concept design and implementation Database & Backend Engineering Design and optimise backend services and data models PostgreSQL JPA / Hibernate Ensure scalability, integrity and performance of data-intensive systems DevOps, CI/CD & Automation Develop and maintain CI/CD ...

... 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, ...

... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...

... Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real-time using cloud-native technologies. Implement data validation and quality checks to ensure ...

Data Science Lead

... or enterprise intelligence. - Knowledge of SAP’s domains, data models, metadata structures and core business processes end-to-end. - Experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator ...

... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...

... analytics team. A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. In ...

... implementing enterprise-grade data solutions. - Extensive experience designing and delivering Data Lakes, Lakehouse Architectures, Data Warehouses, and Real-Time Data Platforms, along with a strong understanding of data modeling, governance, security, metadata management, data quality, and data lineage. - Proven ability to ...

Job Description : As a Data Scientist, you will identify business trends and solve complex problems using large-scale data and advanced AI techniques. You will design, develop, and deploy high-impact solutions ranging from classical ML/DL to LLM-powered applications including RAG-based architectures and Agentic AI https://jobeax.com/link/LNO4qyefA3UlJa2l ...

... data integration, workflow orchestration, and data warehouse https://jobeax.com/link/xr65F3iaCgiH6SkB candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data https://jobeax.com/link/QJthsbNyq6dgbViB ...

... architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries. Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. ...

Role : Senior Data Scientist - Digital AssetsJob Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data ...

Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...

... Modelling, Data Analysis & Insight Generation - Apply strong data modelling skills including dimensional modelling, star schema design, semantic modelling, analytical data product modelling, metric modelling and data mart design. - Perform deep data analysis using SQL, analytical thinking, data profiling, reconciliation, segmentation, ...

... 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. ...