2,026 real data entry jobs in India.

... security of organizational data assets. Metadata Management: Design and maintain metadata repositories, ensuring accurate and comprehensive documentation of data assets, including data definitions, lineage, and usage. Data Quality Management: Collaborate with data quality experts to implement data quality rules, validation ...

... designing, deploying, and managing data models on cloud-based infrastructure, preferably for data platforms. Minimum of 10 years of experience in enterprise data architecture, data management and data governance, or a related field. Strong knowledge of database design, data modeling, and ETL processes. Experience in designing ...

... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...

... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...

... Product Managers to define product vision, success metrics, and feature priorities. - Track product performance, adoption, user behavior, and key product KPIs. Data Strategy & Insights :- Oversee data initiatives across datasets, data quality, structuring, and delivery. - Develop frameworks for data enrichment, classification, ...

... many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of ...

... Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA). (ref:hirist.tech)

Role Overview :As a Lead Data Scientist, you will spearhead the development and deployment of sophisticated machine learning models that drive strategic decision-making for our enterprise clients. You will act as the primary technical bridge between complex data architectures and business stakeholders, translating ambiguous ...

... Azure Event Hubs, Azure Service Bus, or similar queue/messaging technologies.- Exposure to .NET for building data-adjacent services or APIs.- Familiarity with data governance, data cataloging, and data lineage tooling.- Exposure to MLOps or supporting ML pipeline infrastructure.- Exposure to Mortgage or Real Estate domain. ...

... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...

... Azure Event Hubs, Azure Service Bus, or similar queue/messaging technologies.- Exposure to .NET for building data-adjacent services or APIs.- Familiarity with data governance, data cataloging, and data lineage tooling.- Exposure to MLOps or supporting ML pipeline infrastructure.- Exposure to Mortgage or Real Estate domain. ...

... fine-tuning pipelines to enhance product features and automation.- Production-Scale Infrastructure: Architect end-to-end ML production setups, covering robust data ingestion, model training pipelines, and real-time monitoring.- DS Ops & MLOps Governance: Implement strict governance frameworks and best practices for 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 ...

... stakeholders to translate complex data requirements into high-performance, scalable Snowflake environments. Your contributions will directly influence the efficiency of data delivery, ensuring that our clients have reliable, real-time access to critical business insights that drive their strategic https://jobeax.com/link/YWeFbQYOXsffj75Z ...

... many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...

... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate :- 1. Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- 2. Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...

... product owner.- Apply concepts of Lean Agile, Customer Centricity and Design Thinking within the analysis approach.- Develop data models, data flows and other data related artefacts to visualise data relationship and process.- Assure solutions through techniques such as data modelling, data lineage, data dictionary, and ...

... and performance assessment.- Experience working with modern cloud and data platforms, preferably Snowflake and AWS, and an understanding of scalable analytical data structures and pipelines.- Exposure to Generative AI and modern AI techniques, alongside a sound understanding of data quality, explainability, governance and ...