2,338 ntt data jobs in India.

... for an experienced Lead Data Scientist / Technical Lead to lead a pod of Data Scientists and drive the end-to-end development and deployment of accelerator-led Data Science and AI solutions for enterprise https://jobeax.com/link/DNEKcQG1q3IBOBjj is a deeply technical role involving hands-on Data Science, technical leadership, ...

... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...

... 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 ...

... data from multiple enterprise systems. • Understand and document finance-related business logic and technical data flows. • Support integration of SAP financial data into reporting and planning solutions. • Collaborate with global stakeholders to gather and clarify business requirements. • Support data modelling and data transformation ...

... build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data. - Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and ...

... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...

... ensuring their needs are supported through effective data solutions.- Contribute to and adhere to established data governance and security practices, including metadata management, data quality frameworks, and data cataloging, to promote trust and reliability.- Enable business functions with clean, structured data that supports ...

... professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL development, and data streaming. - Experience with AWS products including Lambda, Step Functions, ...

... including generative AI and LLM-based approaches - using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context - data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...

... compliant data flows in a cloud environment.- Microservices Integration : Collaborate on Service-Oriented Architecture (SOA) and microservices to ensure seamless data flow between application layers and the data platform.- Database Management : Manage diverse data storage solutions, including Relational (PostgreSQL/MySQL), ...

... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...

... change, applying first-principles problem solving, and using data to learn and adapt along the way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and ...

... 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 ...

... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...

Data Pipeline Development: Designing and building scalable, efficient, and reliable data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data lakes or data warehouses. - Provide leadership on the migration from Hadoop to Azure and on how we leverage data in multiple ...

Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...

Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...

... data architecture, cloud platform design, or equivalent data-platform architecture.- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.- Data Architecture: Strong ...

... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...