622 Remote fresher data analytics jobs in India.

... specialized services firm focused on digital transformation, data analytics, and cloud engineering. The company partners with global enterprises to modernize their data ecosystems, leveraging advanced cloud platforms to drive actionable business intelligence. Operating at the intersection of data strategy and technical execution, ...

... 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 ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... missed, incorrect, or duplicate objects. Verify images are uploaded to the correct assigned tools. Perform quality checks and correct tagging errors. Maintain dataset accuracy and follow defined SOPs. Support dataset preparation, Train/Valid splitting, and dataset version creation. Escalate unclear images, project mismatches, ...

Our partner is looking for a Senior Data Engineer based in India. Join a data engineering team building the infrastructure that powers large-scale advertising analytics and AI-driven products. You will own end-to-end data pipelines that ingest, transform, and deliver high-volume advertising data from multiple platforms. ...

... Experience in data migration projects Exposure to on-prem + cloud environments Strong SQL proficiency (should handle basic queries comfortably) Clear understanding of data engineering concepts Experience with: Practical coding ability About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

... ad hoc analysis and business requests when required. Required Experience and Skills - 3-4 years of experience in Power BI reporting, business intelligence, or data analytics. - Must have previous experience working in a trading, brokerage, fintech, financial markets, investment, or similar financial services company. - Strong ...

... parallelism and batch data processing - 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets - Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity ...

... support Data Warehouse (DWH) solutions and data integration processes. Develop and maintain dashboards and reports to support business insights. Work with Oracle databases and Oracle NetSuite data for reporting and integrations. Perform data modelling, database design, and schema optimization. Ensure data quality, integrity, ...

... help our partners become truly data-driven entities. Currently, we are looking for a Senior Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. ...

... https://jobeax.com/link/CYOxrWtv7KilJskJ ResponsibilitiesGather, analyze, and document business and data requirements .Perform compensation and data analysis to identify trends, discrepancies, and data quality https://jobeax.com/link/7JBguaewrF6udpJR and maintain source-to-target data mappings and transformation https://jobeax.com/link/rvx3iKA97jxyuUEP data ...

... customer experiences. Designing the data model for data collection in the data warehouse Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes Building ELT/ETL solutions to enable batch processing and real-time data processing Maintaining data pipelines and monitoring data pipeline ...

... NoSQL databases, data modeling (conceptual, logical, and physical), performance tuning, and database design best practices. Experience architecting and managing Data Warehouses, Data Lakes, and Lakehouse architectures to support enterprise reporting, analytics, and AI/ML workloads. Advanced knowledge of Big Data technologies ...

... a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The Data Integrations team is responsible for the acquisition, ...

... contemporary data architecture patterns (e.g., creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions. Data Engineering & Architecture Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks. Build data models for scalable data processing, ...

... support enterprise-wide data processing. Our product managers and engineers design and build data systems to solve some of the most complex technical and business data management problems in the industry, and they partner with data and analytics experts to deliver high quality analytical and derived data to our internal and ...

... 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, governed data products, semantic layers, metadata ...

... 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 SQL Spark Terraform CI/CD GitHub Actions Cloud Build Data Architecture Data Modelling Data Mesh Data Fabric Data Products Data Contracts Data ...

... logical and physical data models that support analytics, operations, integrations, and governance. Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms - Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains ...

... Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA ...