2,384 ntt data jobs in India.

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...

... Designing, building, and operating batch and streaming data pipelines - Developing high‑throughput, low‑latency data processing systems - Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads - Building and maintaining cloud‑native data solutions on AWS - Using dbt for data transformation, ...

... delivery with technical excellence.- Create technology and tool evaluation https://jobeax.com/link/nRhKJdDFbgW6SVjl Requirements : - Strong hold on Algorithms and Data Structures.- Exposure to C/C++ programming, STL, and Linux.- Experience in writing multi-threaded applications with good scalability.- Exposure to Exception Handling, ...

... Azure, or Google Cloud Platform (GCP) Hands-on experience with any of the CI/CD tools such as GitHub Actions CI/CD, Argo CD etc.. Experience with relational databases like PostgreSQL, MySQL, or SQL Server Proficiency in scripting and automation using tools such as NodeJS Familiarity with NoSQL solutions such as MongoDB, ...

... scalable ETL pipelines for large-scale data processing.- Build and optimize distributed data applications using Spark and Scala.- Develop reliable, high-performance data pipelines for batch and streaming workloads.- Work with large datasets to ensure data quality, consistency, and performance.- Collaborate with engineering, product, ...

... BigQuery and advanced SQL.- Experience with Dataform or dbt.- Hands-on experience with Cloud Composer/Apache Airflow.- Experience with Dataflow/Apache Beam and/or Dataproc/Spark.- Strong understanding of data modelling, schema evolution, data quality, and data pipelines.- Experience with batch and streaming data processing.- ...

... scalability, standardization, and simplification.- Establish and maintain data modeling standards, naming conventions, documentation, and best practices.- Support database design, data integration, ETL/ELT processes, and data warehouse development.- Perform data analysis and validation to ensure data quality, consistency, integrity, ...

... Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills. Experience with multiple database technologies ...

... call support days: 12:30pm-9:30pm Requirements - Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents - Python - Must have - Databricks - Must have - Unity Catalog - Must have - ADLS - Must have - Spark - Must have - Job Orchestration (Airflow) - Must have - Data pipeline Architecture and ...

... attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on three core threads: 1. Data assimilation: contribute hands-on to data assimilation for weather forecasting models. 2. ML-ready datasets: procure, process, and create ML-ready global and ...

... depending on experience. Full-time, permanent post Clarksons Research , the data and analytics arm of Clarksons, are market leaders in the provision of independent data, intelligence and analysis around shipping, trade, offshore and maritime energy transition. Millions of data points are processed and analysed each day to provide ...

... (RCA) and drive permanent resolutions. Participate in on-call support and major incident management (P1/P2 incidents). Troubleshoot application, middleware, and database issues. Execute change requests (CRQs) following approved implementation plans and MOPs. Support patching activities and certificate renewals. Work with cross-functional ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... journey data. It turns compliant data collection into actionable insight that helps improve customer reach, engagement, conversion and website quality. Protect data quality: Configure and validate tracking so customers and Web teams can rely on their website data. Provide clear operational support to marketing and product ...

... EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY ...

... automated training, evaluation, and deployment (Azure preferred). Establish governance frameworks for ethical and compliant AI development. Mentor and upskill data science teams on emerging technologies and best practices. 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects. - Expertise ...

... data ecosystems—where data resides, flows, and how it is accessed. - Troubleshoot and resolve complex technical issues related to collaboration platforms and data access. - Support investigations, audits, and regulatory requests through targeted data retrieval and analysis. - Automate data processes and workflows using ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... frameworks for consumption of machine learning models at scale. - Perform feature engineering through extracting meaningful features from traditional and alternate data sources. - Mentor team of data scientists - Proficiency in Python, SQL, AWS / GCP / Azure - Bachelor's / Master's degree in mathematics, Statistics, Economics, ...

... dictionaries, mapping specifications, interface contracts, test datasets and data-quality documentation. Support performance tuning, partitioning, indexing, data retention, archival and privacy-aware data handling. Minimum 7 years of experience in data engineering, ETL/ELT development, data warehousing, data platform engineering ...