99 offline data entry jobs in India, India.

... applications and next steps. Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze ...

... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...

... Integration: Build and manage data pipelines to ingest data from various sources, including third-party and RESTful APIs. Build ETL/ELT processes using ADF, Fabric Data Flows , and Notebooks. Embed MDM solutions into pipelines, ensuring seamless data sync across systems. Data Storage and Management: Design and implement data ...

... Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) - Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow ...

... Asia and Latin America. Within BNP Paribas Cardif, the 'Data & AI' department significantly contributes to the strategic ambition of making BNP Paribas Cardif a data and analytics-driven company. The development of Data and Analytics is identified as one of the pillars of Cardif's strategy. To achieve its goals in Data Management, ...

... 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 the organization ...

As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...

... Solutions Architect - Data Engineering based in India. This is a senior, client-facing opportunity for a technical leader who can transform complex business and data challenges into scalable, production-ready solutions. You will lead architecture and delivery across modern Data & AI platforms while partnering directly with ...

... Lakehouse architecture and design patterns.- Unity Catalog: Security, governance, access control, and data management.- Databricks Platform: Workflows, Auto Loader, Databricks SQL, batch and streaming pipelines.- Spark Performance Optimization: Partitioning, shuffle optimization, data skew, join optimization, AQE, and Catalyst.- ...

... - 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 ...

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 ...

... 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. ...

... Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real-time using cloud-native technologies. Implement data validation and quality checks to ensure ...

... Oracle Database and SQL performance tuning. - Experience working with large datasets and data manipulation. - Experience with job schedulers and ETL tools (e.g., Familiarity with REST APIs and JSON/XML data formats. Exposure to cloud platforms (AWS) is a plus. Knowledge of data modeling and database design best practices.

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... systems into offline datastores. Work with Product Managers, BI engineers, Software Engineers and Data Scientists to design, implement and support high quality data products. - Partner with cross functional teams across Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate ...

... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...

... troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Implement data quality checks, validations, ...

... Information Retrieval, Semantic Search, Recommendation services (on top of Elasticsearch also leveraging LLMs/Embeddings and GenerativeAI) Large scale distributed data processing (based on Apache Spark / Scala) Streaming data processing (based on Google DataFlow/ApacheBeam) Senior-level ML engineers are preferred, but all levels ...