... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... readiness in a medical device environment. Guide SAP functional teams, data migration teams, integration teams, analytics teams, and business data stewards on master data standards, data models, dependencies, interfaces, and quality controls. Drive integration and enterprise data alignment: Ensure master data is consistently integrated ...
... Lambda . Write and optimize complex SQL queries for data transformation, reporting, reconciliation, and analysis. Work with data from APIs, SaaS applications, databases, flat files, and other enterprise sources. Design data models and structures to support reporting and analytics requirements. Implement data quality checks, ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... datasets. Work with PostgreSQL databases for structured data management and optimization. Develop APIs and backend services using FastAPI. Integrate multiple data sources and ensure data consistency and quality. Collaborate with cross-functional teams for analytics, reporting, and business intelligence solutions. Optimize ...
... through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ensuring stakeholders have access to reliable and timely information.- Design and deploy interactive analytics dashboards that visualize key performance ...
... 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 ...
... by: Kaamwork) (*Note: This is a requirement for one of Uplers' client - A globally renowned vacation planning company from the US) statical methods, metrics, Analytical, Data Analysis, Marketing Concepts, Problem Solving Attitude, Python, SQL, Tableau A globally renowned vacation planning company from the US is Looking for: ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
Exp: 6+ years Work Mode: Hybrid (3 days work from office) or Remote can also be provided. Key Responsibilities Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... platform - enabling trusted insights, real-time analytics, and data-driven decision-making across the business. You'll work with modern cloud technologies and data engineering tools to develop robust batch and streaming pipelines, manage large-scale datasets, and ensure data is accurate, secure, and accessible. Collaborating ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... Experience working within Agile engineering teams using modern software delivery practices, story decomposition, and iterative delivery. Excellent troubleshooting, analytical, and problem-solving skills, particularly with data reconciliation, root-cause analysis of quality issues, and lineage tracing. Strong written and verbal ...