2,338 ntt data jobs in India.

... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...

... position is for a KPO Network Operations/Project Engineer. The project team will be responsible for supporting a multi-vendor network environment, including Data Center (DC), Load Balancers (LB), and Firewalls, along with F5 and Juniper technologies within the Defra infrastructure. Experienced in hardware and infrastructure ...

... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...

... consumer behavior and the influencers that drive it. As a Data Classification Associate, you will perform various duties related to data entry. Enter required data in accordance with detailed data entry guidelines and project- specific requirements. This key function requires learning and adhering to: General data entry ...

... with data owners and cross-functional teams to identify root causes of data issues and implement corrective actions. - Manage the onboarding and integration of data from various internal and external sources into the central data repository. - Partner with data owners and delegates to define and implement data quality (DQ) ...

... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...

... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...

As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...

... that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, ...

... & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in performing data extraction, data transformation, building and managing data pipelines to ensure data availability for ML & LLM ...

Oracle Database Administrator Must Have Skills: Candidate with overall 6+ years experience with 4+years in database engineering, administration, and support and should have a minimum of 4+ years specifically in DBA (Oracle, Cassandra, SQL, MYSQL) Expertise in Oracle DB administration in a production environment. Must have ...

... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...

... and update B2B enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data integrity and confidentiality ...

... converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. ...

Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...

Key Responsibilities: Dynamics 365 Customization: Modify forms, views, and dashboards to align with business needs. Data & Table Management: Create and maintain tables, fields, and relationships within D365. Workflow Automation: Design flows and business rules using Power Automate and D365 tools. Testing & QA: Ensure all ...

... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...

... 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 ...

... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...

... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...