2,253 data entry jobs in India.

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into https://jobeax.com/link/49uyUi7EOndfzpBw ...

... SAC planning capabilities.- Experience enabling bi-directional integrations between SAC and Datasphere using SAP APIs and integration services.- Exposure to Datasphere integration patterns leveraging Azure Data Lake as an enterprise source-of-truth platform.- Experience evaluating, selecting, and implementing Datasphere ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... Designing, building, and operating batch and streaming data pipelines - Developing high‑throughput, low‑latency data processing systems - Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads - Building and maintaining cloud‑native data solutions on AWS - Using dbt for data transformation, ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

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 ...

... Responsibility for supporting ongoing information security compliance initiatives, including policies and standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the review and approval of technology in relation to information security risks, including ...

... intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to drive measurable data growth, improve data coverage, and support strategic onboarding initiatives. If you enjoy solving complex data challenges, building strong relationships, and ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

... investment, and accounting data in Databricks- Work closely with the investment management team to understand data structures and business requirements, ensuring data accuracy and quality.- Monitor and troubleshoot data pipelines, ensuring high availability and reliability of data systems.- Optimize database performance by ...

... 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, ...

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

... 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 ...

... systematic procedures to validate model performance and accuracy. Perform feature engineering through extracting meaningful features from measured and/or derived data Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. Analyze large datasets to identify trends, patterns, ...

... workflow orchestration, data pipeline design, and Python-based data https://jobeax.com/link/QJthsbNyq6dgbViB Responsibilities :- Design, build, and maintain ETL/ELT data pipelines using Apache Airflow.- Write clean, efficient, and reusable Python code for data processing and transformation.- Use Jupyter Notebooks for data exploration, ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... Development: Writing and optimizing complex Data Analysis Expression (DAX) for measures, calculated columns, and intricate KPIs to handle large datasets. • ETL & Data Transformation: Developing sophisticated data transformation logic, for instance using Power Query (M language), and building reusables dataflows and pipelines. ...

... Permanent Hybrid Work Language: Fluent Business English As a Data Engineer, you will play a pivotal role in designing, building, and maintaining highly scalable data management systems that enable Nespresso's data-driven decision-making. You will integrate diverse data sources into a unified platform, ensuring data accessibility, ...