3,082 data science analytics jobs in India.

... collaboration skills Clear and effective communicator Nice to Have Experience with data governance, lineage, and observability tools Exposure to large-scale analytics or enterprise data platforms Spark, GCP, Bigquery, Composer, Python Primary Skills : GCP. Bigdata Seondary Skills : SQL, Spark/Python, Good to Have : Gen AI

Key Responsibilities: Dynamics 365 Customization: Modify forms, views, and dashboards to align with business needs. Data & Table Management: Create and maintain tables, fields, and relationships within D365. Workflow Automation: Design flows and business rules using Power Automate and D365 tools. Testing & QA: Ensure all ...

... best practices. Avantor is looking for a Solution/Skills Architect (SA) is a strong technical/functional advisor who works closely with Skills Builder to define data analytics models, as well as the Decision Data Model in support of the skills workbench to enhance the Decision Intelligent skills catalog. The ideal candidate ...

... degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field. - 3–9 years of hands-on experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics. - Strong understanding of Machine Learning algorithms, Statistics, Probability, and Optimization ...

... years of experience. Expert in Redshift administration and AWS services like EC2,IAM ,CLoudwatch ,VPC. Manage and support 24x7 production as well as development databases to ensure maximum availability for various applications. Perform DBA related tasks in key areas of Cluster resizing ,Snapshot ,backup,restore object from ...

Description : About us : It is a global leader in providing data, analytics, and reporting solutions to organizations worldwide. With innovation at the heart of everything we do, we help businesses transform complex information into meaningful insights that drive decision-makingRole : Full Stack Developer- Location : Mumbai, ...

... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...

... they want, when they want it. Platform Engineering Services - Database Team is responsible for Engineering, Architecture, operations ,support and Scaling of databases for Amazon Fulfillment Technologies (AFT), WWCR (WW Customer Returns) and Gift Cards systems. Bachelors in Computer Science or Engineering, or equivalent ...

Litmus is building the data foundation that powers industrial AI. AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We’re a growth-stage software company helping manufacturers ...

... collaborating effectively with product, engineering, analytics, and business stakeholders. - Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience. Preferred (Nice to Have) Skills, Education, or Experience - Experience working within a Data-as-a-Product operating ...

... Perform end-to-end testing of Angular-based Single Page Applications (SPAs) Validate REST APIs using Playwright API testing, Postman, or similar tools Perform database validation using SQL queries to verify backend data integrity Integrate automated test suites into CI/CD pipelines (GitHub Actions / Azure DevOps / Jenkins) ...

Skillset Requirements Experience : 5 to 10 years in data science Programming : Minimum 5 years in Python Machine Learning/NLP : At least 4 years LLM & GenAI : Minimum 1.5 years with large language models and generative AI Database Management : At least 2 years with any database Cloud Deployment : 1+ years deploying ML models/Python ...

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... and Web APIs AWS cloud services and architecture (EC2, RDS, Lambda, S3, ECS, CloudWatch) - highly valuable for our ongoing migration Microsoft Fabric and Azure data platform experience Power BI for analytics and data visualization Playwright or similar automated testing frameworks Microsoft Rules Engine or other business ...

... availability, reliability, and security across development, testing, and production systems. You will work closely with software developers, QA engineers, architects, database administrators, and IT teams to streamline software delivery, optimize infrastructure performance, and support AI-enabled cloud solutions. The ideal candidate ...

We're hiring a Senior SAP Data Engineer to own the core data platform behind our growing Analytics Practice from ingestion and modeling through to the governed consumption layer that downstream analytics teams build on. You'll work hands-on across SAP Business Data Cloud, Datasphere, and HANA Cloud, integrating SAP and ...

... into the classroom for an enhanced learning experience. Collaborate with fellow teachers and staff for interdisciplinary learning. Plan and deliver engaging science lessons for primary school students. Use storytelling, hands-on activities, and visuals to explain scientific ideas. Foster curiosity and encourage students ...

Brief Job Description: • Write and optimize in-application SQL queries and stored procedures - Support database performance, security, and availability - Assist in preparing technical documentation and specifications - Perform routine database tasks such as backup, recovery, and migration - Monitor server resource usage ...

... through data https://jobeax.com/link/T65otfdZipyALmSq :- Design, build, and deploy scalable machine learning models into production systems.- Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).- Leverage Databricks, Apache Spark, and ...

... data architectures that power analytics, reporting, AI, and business decision-making across global business functions. Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data. Build and manage modern cloud-based data platforms, data lakes, and data warehouses. Ensure ...