... 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, ...
... 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 ...
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 ...
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, ...
... Integration: Build and manage data pipelines to ingest data from various sources, including third-party and RESTful APIs. Build ETL/ELT processes using ADF, Fabric Data Flows , and Notebooks. Embed MDM solutions into pipelines, ensuring seamless data sync across systems. Data Storage and Management: Design and implement data ...
Purpose of the role Build and maintain all data pipelines feeding the Databricks lakehouse, ensuring clean, timely, and governed data flows from every source across the Investment Division’s five portfolio clusters and, in later phases, the Group’s operating divisions. Own the bronze-to-silver-to-gold transformation logic, ...
... tools. Data Modeling & Architecture: Skilled in dimensional and semantic modeling, database design, and building performant, governed analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience ...
... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...
... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
Role Overview Application Senior Data (Platform) Engineer Location: Hyderabad | Department: Technology, Data About The Role Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier As a Senior Data Platform Engineer, you will be hands-on in building, operating, and ...
... & Remote Operations YOUR TASKS: Build and maintain data pipelines to transform, process and ingest wind measurement and master data from multiple sources and data formats to drive analytical insights. Develop and optimize data models and schemas for storage and retrieval of structured andunstructured data Perform analysis ...
Job Description :We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, ...
... 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), ...
We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a ...
... tenant data warehouse layer that underpins multi-tenant AI Agent workloads. - Build and govern the Data Agent layer that supplies on-prem/customer-controlled data to cloud LLM reasoning in the Hybrid AI zone, with staged, explainable data outputs and human review checkpoints. - Define data classification and routing rules ...
... and provide data- driven solutions. Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards. Develop and implement validation processes to ensure data accuracy and consistency. Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.
... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...
... 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 ...