3,191 master data analyst jobs in India.

... platforms. - Familiarity with Git , version control, and ML deployment concepts. - Strong analytical, problem-solving, and communication skills. - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Preferred Skills Azure Machine Learning. Power BI or Tableau. ...

... and high-performing data https://jobeax.com/link/mQ5U4eML8IBoZ42E Responsibilities :Data Architecture & Platform Strategy :- Define and implement enterprise data architecture leveraging Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics).- Design modern data platform strategies including Medallion ...

... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... develop, and maintain batch and real-time ETL/ELT pipelines on GCP Build and optimize data pipelines using Python Implement streaming solutions using Pub/Sub and Dataflow Develop and manage batch workflows using Cloud Composer Design and optimize data models and queries in BigQuery Work with large-scale, low-latency data stores ...

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 ...

... Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline. - 6–12 years of experience in Data Engineering, Data Platform Development, or Cloud Data Architecture. - Proven experience leading enterprise-scale data engineering programs and cloud migration ...

Solution Architect Azure Databricks Data & ML PlatformExperience : 10+ YearsLocation : BangaloreMode : Hybrid / Client-facingRole Overview : We are seeking an experienced Solution Architect with strong expertise in Azure Databricks, enterprise data platforms, Edge-to-Cloud integration, and MLOps to design scalable, secure, ...

... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal 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 ...

... scheduled workflows, and reporting pipelines.- Support and enhance data APIs for internal analytics consumption.- Ensure data quality, consistency, and low-latency data availability across systems.- Work on new initiatives within the data platform, including building and integrating new data pipelines, features, and use cases.- ...

... https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) https://jobeax.com/link/ogW4mNXlWSCaUHh0 ...

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

... requirements. - Promote best practices around data quality, lineage, stewardship, and master data management. AI, Analytics & GenAI Enablement - Design modern data architectures that support analytics, machine learning, and Generative AI use cases. - Build data foundations for Large Language Models (LLMs), Retrieval-Augmented ...

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 ...

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 ...

... 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 ...

... quality, governance, and security throughout the analytics lifecycle. 7 to 12 years of overall experience, with a core 5 to 8 years of hands-on experience in Data Science, Machine Learning, and Predictive Analytics (Must be an Individual Contributor). - Full-time Bachelor's or Master's degree in Computer Science, Data Science, ...

... 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 Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape. - Data Preparation: Clean and ...

... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate : - Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...