1,867 data entry typing jobs in India.

We are seeking a highly skilled L3 Database Administrator with strong expertise in SQL Server and PostgreSQL to manage, support, and optimize critical database systems. The role involves advanced troubleshooting, performance tuning, cloud database management, and ensuring high availability and disaster recovery for production ...

... scheduled workflows, and reporting pipelines.- Support and enhance data APIs for internal analytics consumption.- Ensure data quality, consistency, and low-latency data availability across systems.- Work on new initiatives within the data platform, including building and integrating new data pipelines, features, and use cases.- ...

... https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) https://jobeax.com/link/ogW4mNXlWSCaUHh0 ...

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

... journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Working with partners and principals to shape proposals that showcase our data engineering ...

Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...

... AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform ...

... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...

... monitoring. Drive project-management rigor — dependency management, risk escalation, and stakeholder reporting. Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling. Expertise in programming languages such as Python or R for data manipulation, analysis, and ...

... Functions, console apps, services, etc.). Build scalable ETL/ELT pipelines on modern tooling (Databricks, Snowflake, Fabric, etc.) Orchestrate batch pipelines with Databricks Jobs/Workflows, SSIS, Azure Data Factory, or equivalent tools. Partner with stakeholders to translate requirements into robust data solutions; Participate ...

Full time Internship Working Monday to Friday Shift work

... (Java), you will be responsible for developing and maintaining back-end components of our software products. The ideal candidate should have a strong foundation in Data Structures and Algorithms (DSA) and be proficient in a range of technologies including Java, Java Script, Spring Boot, Angular or React. You will collaborate ...

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 ...

... experience in data engineering with a strong track record of delivering production-grade data solutions.- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.- ...

... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...

... devices under guidance. Escalate unresolved issues to L2/L3 Network Engineers with proper documentation. Assist in patching, cabling, and hardware replacement in data centers or office environments. Ensure compliance with IT policies and maintain accurate documentation of network changes and incidents. Required Skills & Knowledge ...

... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...

... you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... data and/or other sources of data e.g. Visa data, third party etc. Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure. Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose ...