2,735 big data jobs in India.

Job Description : Hexaware is urgently looking for Immediate joiners for Data Scientist + Gen AI Lead position. If interested, please share your updated profile on View email address on https://jobeax.com/link/vqHYNEElkLeMxovm Role : We are seeking a highly skilled Lead Data scientist with strong expertise in Generative ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... 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, ...

... technical concepts to business audiences. - Experience in leading project teams and providing technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization ...

... knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections . - Proficiency in Python, PySpark, and SQL . - Experience in data pipelines, ETL/ELT, transformations, and data quality. - Experience integrating Foundry with cloud platforms, APIs, and databases . - Knowledge of React/TypeScript ...

... deploy key infrastructure within the Azure Cloud supporting a wide variety of technology solutions. Working specifically with services in Azure such as Azure Data Lake, Azure Databricks, Azure SQL Data Warehouse, Azure Data Factory, Azure Service Bus, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, ...

... 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)

... - 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, ...

... Market Data Operations Team Lead will be responsible for managing a team of Market Data Analysts and ensuring the accurate and efficient management of market data for our clients. Responsibilities - Lead and develop a team of Market Data Analysts. - Oversee the maintenance of market data inventory for multiple clients. ...

... scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark ...

... database maintenance: user management, tablespace/datafile growth forecasting, schema management, and security auditing.- Execute Release Update (RU) patching and database upgrades on Windows environments with minimal operational downtime.- Execute database migrations, refreshes, and Data Pump (EXPDP/IMPDP) exports/imports across ...

We are seeking a highly skilled MS SQL DBA with 5 to 10 years of experience to manage, maintain, and optimize our SQL Server databases. You will be responsible for designing and optimizing stored procedures and queries, continuously monitoring performance, enhancing security measures, and addressing various database and ...

... 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 requirements into actionable analytical roadmaps. Your daily contributions will involve mentoring ...

... 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.- ...

... - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project ...

... 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.- ...

... data processing.- Design decoupled and interoperable data platforms using open-source technologies while minimizing vendor lock-in.- Establish standards for data pipelines, data modeling, CI/CD, coding practices and technical documentation.- Design and oversee data governance, security, auditability and data quality frameworks.- ...