3,317 data entry com jobs in India.

... production-quality code and manage data workflows using SQL and cloud-based environments like AWS or GCP.- Exceptional communication skills, with the ability to distill complex statistical findings into clear, strategic insights for non-technical leadership.- Strong analytical rigor, typically evidenced by a degree in Computer Science, ...

... data platforms and data products. - Demonstrated experience delivering measurable business value through data engineering, analytics, AI/ML, automation, or a combination of these capabilities. - Strong expertise in data architecture, data modelling, distributed data processing, and modern data platform technologies. - ...

... data models, architecture, operational runbooks, troubleshooting procedures, and support processes. Knowledge & Experience Degree or equivalent qualification in Computer Science, Engineering, Business Administration, or a related discipline. 4–9 years of professional experience in NoSQL database engineering, with substantial ...

... Warehousing and Storage: Designing and maintaining data warehouses or data lakes to efficiently store and manage large volumes of structured and unstructured data. - Data Governance and Security: Implementing data governance practices and security measures to protect sensitive data, ensure data privacy, and comply with ...

... build scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable ...

... improvements in platform performance and user experience. - Validate assumptions at low cost by building compelling hypotheses and designing rigorous experiments before committing to major infrastructure investments. - Track industry trends in data engineering, AI/ML, and analytics to maintain Okta’s competitive edge and "never stop ...

... closely with engineering and research teams to build scalable AI models and contribute to the development of advanced multilingual AI solutions. You should be comfortable working with model training pipelines, datasets, tokenization techniques, transformer architectures, and GPU-based training environments. A strong interest ...

... insights and recommendations from data sets. Able to adapt as the external environment and organization evolves. Attentive to detail and accuracy. Able to analyze complex situations and recommend solutions. Effective written and verbal communication skills. Serve as an effective team member. Strong client orientation and results-driven. ...

... Scala, and SQL to design and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing ...

... organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations ...

... Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize deep learning architectures for Computer Vision and NLP tasks. ...

... ensuring that data-driven insights are integrated into the core of our telecommunications infrastructure to improve service delivery and operational https://jobeax.com/link/B5FqADZCftriE8HV Responsibilities :- Design and deploy scalable machine learning models to solve complex telecommunications challenges, directly impacting ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

... degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Fluency in English Planning & Organizing Skills Data Modeling and Database Design ETL (Extract, Transform, ...

... written and verbal communication skills - Great analytical, critical thinking and problem-solving abilities - Excellent skills on PL/SQL and good exposure to data transformation language like python - knowledge of AWS, Java Basic, API, databases - 5 or more years of Data Analyst experience - Bachelors degree or higher in ...

... insights to drive business decisions. Responsibilities: Gather data from various sources, ensuring its accuracy, completeness, and relevance for analysis. Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work ...

... Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads.

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

... make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or ...

... models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve and analyse relevant data, driving insights and recommendations ...