2,338 ntt data jobs in India.

... experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency in developing, deploying, and debugging data-objects, and data transformation pipelines. ○ Expertise in data analysis methodologies ○ Exposure ...

... across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries. GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the ...

... Storage Programming: Python, SQL Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark Orchestration: Cloud Composer, Apache Airflow Transformation: Dataform, dbt Engineering: Git, CI/CD, Automated Testing, Monitoring Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata ...

... Java, JavaScript, or Python OR equivalent experience. Experience building scalable and highly available cloud services spanning multiple regions and/or clouds. Data modeling and big data processing experience Experience in work management and asset inventory systems #This position will be open for a minimum of 5 days, with ...

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

... identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business ...

... potential can thrive. The Role Required Skills and Experience - •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes - •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc - •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB ...

Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...

Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education

... identify opportunities to integrate data/insights into decision-making. Understand and translate business requirements from internal and external stakeholders into data product and features. Process, cleanse, and verify the integrity of data used for analysis. Conduct exploratory data analysis to verify the initial hypothesis ...

... (strong fluency required) Databases : PostgreSQL, MySQL, large-scale (multi-TB) database management ETL/ELT Pipelines : Experience with Pentaho, AWS ETL tools Data Architecture : Strong understanding of data warehousing , big data pipelines Tools & Platforms : GitHub, unstructured data handling, Airflow (deep expertise) ...

... . Good team player . Interest in technologies and innovation . Knowledge of formalisation and communication tools (MS Office - MS SharePoint) . Knowledge of statistical and datamining techniques (SAS, SPSS, VBA, ACCES) or SQL database languages . Proficient in English . Perfectly at ease in a multi-cultural environment

... mapping rules between source-system data structures and SSPs standardised data models.- Support data profiling, quality assessment and resolution of source-system data issues.- Ensure data integrity throughout the integration lifecycle.4. Reconciliation & Exception Management :- Own transaction-level and data-flow reconciliation ...

... workflows for real-world use cases. Mindrift is looking for highly skilled Senior 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, ...

... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...

... cloud-native data services: Data lakes, data warehouses, and analytics services Identity and access management for data systems Data & Analytics Understanding of data governance and security principles Experience with data quality frameworks and monitoring Knowledge of dimensional modeling and data warehouse design Familiarity ...

... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...

... technologies - RDF, OWL, Ontologies, SKOS, Taxonomies, Controlled Vocabularies, Semantic Web, Semantic Modelling, Ontology Engineering. - Data modelling - Conceptual Data Modelling, Logical Data Modelling, Physical Data Modelling, ER Modelling, Dimensional Modelling, Canonical Models, Domain Models, Data Dictionary, Metadata Modelling. ...

... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...