1,400 Remote lead data engineer jobs in India.

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves ...

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves ...

... Quality etc.) - Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates. Lead, motivate, and manage a team of 20-25 associates engaged in ML data annotation operations from virtual or work-from-office spaces scale and transition across ...

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves ...

... document methodologies, and support junior geospatial analysts. - Promote best practices in model development and code quality. - Translate business problems into data science solutions and communicate results to stakeholders. Master’s/PhD in Remote Sensing, Geoinformatics, Agriculture Engineering, Earth Sciences, Environmental ...

... 12–15+ years of overall experience in Data Management, ERP, SAP, Data Governance, Data Quality, or Enterprise Applications. Minimum of 7+ years of experience leading enterprise Master Data Management programs in the capacity of MDM Lead, Data Governance Lead, SAP Data Lead, MDM Architect, or equivalent role. Strong working ...

... bridge between complex raw data and actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. You will collaborate closely with cross-functional product, engineering, and operations teams to identify performance bottlenecks, optimize data workflows, ...

... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...

... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...

... nearby. As a travel guidance company available in 43 markets and 22 languages, This client makes planning easy no matter the trip type. Utilize SQL and other data analysis tools to extract insights from large datasets and provide actionable recommendations to improve marketing campaign performance. Monitor and analyze the ...

Exciting Opportunity: Java Developers for a Leading https://jobeax.com/link/DdY215X2M1qQkjhT organization is looking for skilled Java Developers to join their team. The company is a pioneer in developing the next generation of dialog agents, with applications in education, entertainment, and general knowledge platforms. ...

... with Python libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience ...

... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...

... contribute to improving the quality of data used in next-generation AI systems. Key Responsibilities Data Analysis & Review Review and analyze large business datasets for accuracy, completeness, and relevance . Examine data to identify inconsistencies, anomalies, and potential quality issues. Assess data integrity and provide ...

... cost.- Big-data and pipeline fluency: Advanced SQL plus distributed processing for large spatial workloads (Spark or Dask), and building reliable, repeatable data pipelines.- Productionizing models: Experience turning models into deployable, real-time APIs in collaboration with engineering - clean, tested, well-documented ...

... cloud deployments on AWS, and containerized microservices. Additional frontend expertise with ReactJS and TypeScript is a strong bonus. What you’ll do Technical Leadership - Lead design and architecture of complex backend systems, distributed services, and mission-critical APIs. - Define coding standards, enforce code quality, ...

... predictive analytics and data visualization. 4. Perform data cleaning and manipulation to ensure data accuracy and consistency and optimize data quality. 5. Work on data entry tasks to input and organize large volumes of data in databases and data warehouses. 6. Develop and implement strategies for data engineering processes to ...

... Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing - Entering and updating information into relevant databases - Informing relevant parties regarding errors encountered - Handling additional duties from time to time Requirements - 1+ years experience in a relevant ...

... architectures to support trusted data products, self-service analytics, and conversational AI.- Design solution architectures for modern data and AI platforms on Databricks.- Define and promote enterprise standards for data products, data modelling, Medallion Architecture, DBT, Unity Catalog, and data engineering.- Create reusable ...

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