3,783 data entry work jobs in India.

... English-speaking and highly driven Telecaller / Inside Sales Executive who can convert qualified leads into appointments and sales opportunities . This is not a random-data calling role . The candidate will be provided with precise, relevant and structured lead data and will be expected to proactively follow up, understand customer ...

... (IAM) solutions.- Work with OAuth 2.0 and OpenID Connect for authentication and authorization.- Implement encryption and security controls for applications and data.- Collaborate with network and infrastructure teams on firewalls, TLS, and network security.- Secure applications and workloads across AWS, Azure, or GCP environments.- ...

... Experience managing complex datasets and evolving https://jobeax.com/link/AOyV8qb3tgCVb5N5 Quality and Observability : Experience with : - Data validation frameworks- Lineage systems- Monitoring and alerting- Reconciliation pipelines- CI/CD for data systemsCloud and Platform Engineering : Experience with : - GCP- Databricks- ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

... frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred Experience in data mining Experience in product development

... experienced architect passionate about the intersection of modern data platforms and artificial intelligence. You will shape AI-ready data capabilities on a modern Databricks Lakehouse foundation, enabling advanced analytics and intelligent applications. The role spans LLM-powered analytics, conversational AI, agentic workflows, ...

... specifications, process flows, user stories, and solution designs.- Support reports, analytics, and interactive dashboards using FDI or other reporting tools.- Work with technical teams on integrations, APIs, data migration, and extensions.- Lead/support SIT, UAT, defect resolution, deployment, and go-live activities.- Provide ...

... Analytics, and custom dashboards. Assemble and manage large, complex datasets that meet functional and non-functional business requirements. Implement and maintain data quality frameworks using tools such as dbt tests and monitoring solutions. Collaborate with business intelligence analysts, data scientists and business stakeholders ...

... Engineering (AWS | Azure | GCP) Build and maintain solutions using cloud-native compute/storage components: Data Warehousing & Modeling Design enterprise-grade Data Warehouses, Data Marts, and Semantic Layers. Implement Kimball, Data Vault, and modern ELT-first design patterns. Work closely with BI/ML teams to operationalize ...

... Responsibilities :- Design, develop, and optimize ETL/ELT data pipelines for large-scale data processing.- Build and maintain data solutions using Apache Spark, Databricks, SQL, and Python.- Develop robust batch and real-time data ingestion frameworks.- Design and implement enterprise data warehouses, data marts, and lakehouse ...

Data Scientist will lead the development and deployment of generative AI (GenAI) models in the healthcare EMR/EHR domain. This role will focus on building state-of-the-art AI/ML solutions for a variety of use cases and integrating agentic frameworks and workflows. The incumbent will have expertise in working with models ...

... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...

... understanding of technical tools and development platforms. Knowledge of technical design and architecture concepts such as application design, integration platforms, networking, computation concepts, application frameworks, and data modeling approaches. Proficient with version control systems such as github and issue tracking tools ...

... with colleges, universities and senior stakeholders - Exposure to business development and institutional partnerships - Experience building student communities and campus networks - Opportunity to work on real business projects and initiatives - Professional network across the education, startup and business ecosystem

Standard (Mon-Fri) Environmental Conditions Office As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing ...

... end-to-end data pipelines (batch and streaming) using Azure Data Factory / Synapse Pipelines and Databricks.- ETL/ELT Development : Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks to process large-scale datasets efficiently.- Data Ingestion : Build and optimize data ingestion frameworks ...

... hands-on experience in data research, data quality/QA, data science, or analytics engineering (typically 5 - 9 years).- Fluency with Python and SQL and modern data tooling; comfort digging into large, real-world datasets.- A working understanding of machine learning and GenAI/LLMs enough to evaluate models critically, reason ...

... Cloud Platform (GCP) and Azure . You will work closely with senior client stakeholders, Business Consultants and Product Owners to design and implement scalable data and analytics solutions. Key Technical Skills GCP & Azure BigQuery Dataflow Pub/Sub Dataproc Cloud Composer Data Fusion Cloud Storage Azure Data Services Python ...

... models, leveraging machine learning techniques and deep learning frameworks. Develop and implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code ...

*Need Immediate joiners only Position: Data Scientist Location: Gurugram Work Mode: Hybrid Setup - 8-10 years (try at least 5 years relevant) - AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. - 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, ...