4,317 it data analyst jobs in India.

... Machine Learning. Power BI or Tableau. Time Series Forecasting. MLOps fundamentals. Internship/project experience in AI/ML. Experience working with cloud-based data platforms. Benefits Benefits & Perks Financial Benefits Provident Fund (PF) Competitive Salary Package Annual Performance Reviews Leave Encashment Benefits Health ...

... Security & Compliance :- Define and enforce data governance frameworks, including data lineage, cataloging, and metadata management.- Implement data security architectures (RBAC, data masking, encryption, access controls).- Ensure compliance with organizational policies and regulatory requirements.- Establish data quality, ...

... experience with OpenSearch, DynamoDB, or architecting large-scale search and indexing systems - Familiarity with Airflow or equivalent workflow orchestration and data pipeline management tools - Background in production observability using Grafana or Prometheus and experience with on-call rotations - Proven experience working ...

... data models and queries in BigQuery Work with large-scale, low-latency data stores such as Bigtable Ensure data quality, reliability, performance, and scalability Manage source code, reviews, and collaboration using GitHub Build and maintain CI/CD pipelines using GitHub Actions Collaborate with product, platform, and analytics ...

... 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 apps on Azure or AWS- LLMOps : Familiarity is a plusRole and Responsibilities : - Leadership ...

... GitHub Actions- GitHub Self-hosted Runners- CI/CD automation Required Qualifications :- 10+ years in Data Platform / Solution Architecture.- 5+ years on Azure data platforms.- Strong Azure Databricks Lakehouse architecture experience.- Experience designing ML/MLOps platforms.- Experience with Unity Catalog governance.- Proven ...

... candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong engineering expertise with technical leadership to architect scalable data solutions and guide ...

... analyse large datasets.- Ability to write comprehensive reports.- Excellent verbal and written communication https://jobeax.com/link/2XqJXLBONIZPT2f1 Responsibilities :- Own and manage the existing real-time and batch data platform, ensuring high availability and reliability.- Monitor, troubleshoot, and optimize data pipelines ...

... Experience designing DLP controls for confidential, proprietary, financial, customer, or intellectual-property data.- Experience with broader Netskope SSE/SASE capabilities, particularly CASB and SWG.- Experience integrating Netskope DLP with SIEM/security monitoring platforms.- Strong understanding of enterprise data classification ...

... Experience with Apache Beam or similar big data processing frameworks.- Exposure to Document AI and Intelligent Document Processing (IDP) systems.- Experience with OCR pipelines, information extraction, or real estate/financial document workflows.- Familiarity with MLOps practices (CI/CD, model monitoring, MVC, DVC).What ...

... Experience with Apache Beam or similar big data processing frameworks.- Exposure to Document AI and Intelligent Document Processing (IDP) systems.- Experience with OCR pipelines, information extraction, or real estate/financial document workflows.- Familiarity with MLOps practices (CI/CD, model monitoring, MVC, DVC).What ...

... 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 define solution architectures, architecture artifacts, ...

... experience with RAG architectures, embeddings, vector search, and reranking mechanisms.- Experience building tool-using agents and multi-step agent workflows.- Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate, Elasticsearch).- Experience with agent frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex).- Experience ...

... components for enterprise data platforms.- Data modeling and warehousing concepts must have.- Data migration and modernization projects good to have.- Implement data quality, monitoring, alerting, security, governance, and compliance standards.- Collaborate with data architects and business teams to understand migration requirements ...

... infrastructure- Identify, structure and integrate digital asset, market infrastructure and ecosystem data sources to improve accessibility, quality and usability- Partner with technology, analytical, external data and industry stakeholders to strengthen data processes that support business priorities and long-term capability development- ...

... stakeholders to understand data requirements and design efficient data models.- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. - Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.- Optimize data processing ...

... work entirely from our Hyderabad office (Monday - Friday). Experience with Generative AI and Large Language Models (LLMs). Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies. Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). Skills: scikit-learn,pytorch,aws,generative ...

... Responsibilities: . Data Solutions Architecture: Develop innovative data-driven solutions for business challenges using Telematics/Time series data. Collaborate with domain experts to gain automotive insights. - IoT Device Mastery: Understand the Telematics Control Unit (TCU) and the time-series data it generates. - Data Landscape ...

... pipelines.- Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.- Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.- Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven ...

... APIs and deploying AI models into production.- Must be willing to work entirely from our Hyderabad office (Monday - Friday).Good-to-Have Skills : - Experience with Generative AI and Large Language Models (LLMs).- Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies.- Familiarity with cloud ...