2,036 online data entry jobs in India.

Role: Data Analytics – Lending Location: Gurugram Experience: 1–4 years, industry competitive compensation What you'll lead / own: Credit funnel analysis across application approval disbursal journeys Building scorecards, frameworks (CIBIL, thick/thin files, bureau/behavioural, ATS cohorts etc.) Forecasting GMV, approval, ...

... and efficient data integration.- Develop and optimize database objects, including stored procedures, functions, views, and triggers, to ensure performance and data integrity.- Manage data ingestion, transformation, quality, governance, security, and compliance across multiple data sources.- Lead data engineering initiatives, ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... environment.- Experience with data quality frameworks, metadata management, lineage tooling, and transaction-level reconciliation.- Working knowledge of cloud data services, workflow orchestration, infrastructure as code, and CI/CD for data pipelines.- Understanding of data protection, access control, encryption, retention, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

... seamless data integration, high data quality, and secure access while collaborating with stakeholders to translate business needs into efficient, cloud-optimized data solutions. Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL processes including database scripts, stored procedures, triggers, ...

... tools, or tax engine data. - Familiarity with SQL, Looker, Tableau, Power BI, Alteryx, Python, Databricks or similar data/reporting tools; experience working with Data Engineering or Product teams is a plus. About StockX StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for ...

... cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. ...

... 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 ...

... 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 ...

... maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF...) and SQL in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, ...