... bridging HR Centers of Excellence (COEs), IT, and business leaders to ensure Workday supports organizational strategy and operational excellence. The Principal Analyst combines deep Workday expertise with strong business acumen to deliver scalable, data-driven, and compliant solutions that enhance the employee and HR user ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...
... perform the above tasks in collaboration and agreement with the team leaders, project leads and other development staff, and where necessary with the Business Analysts, Ops Leads, FO, A & D teams, Methodology teams Strong Functional/Data/Risk Analysis experience. Awareness Market and counterparty risk and Credit risk 4 years ...
... build high throughput services Designing and implementing code in SQL/Python Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. Ensure projects are delivered on time and to the satisfaction of the stakeholder Experience required - 7+ years of experience as a data engineer/similar ...
... with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: ...
... and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, ...
... pipelines, and developer tooling entirely on-premise. You'll build the core data infrastructure, tools, and internal products that enable hundreds of engineers, analysts, data scientists, and business teams to move faster. What You'll Do: Own product strategy, specs, and roadmaps for data platform components, APIs, and developer ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...
... Institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, along with a plethora of AI-facilitated data and content. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. ...
Principal Data Scientist with GenAI - 8+ years - BangaloreSummary :We are looking for an experienced Principal Data Scientist / GenAI professional who can independently develop, implement, and deploy Machine Learning and Generative AI use cases across functions. The role involves working closely with internal teams and ...
Role : Sr. Cybersecurity Analyst - Analytics BI ReportingTeam : Cybersecurity Data ManagementLocation : BengaluruSkills and Competencies : - 5-8 years of experience in business analysis, quality assurance, or a similar analyst role supporting data, reporting, cybersecurity, or information technology operations.- Strong ...
... business needs and data volumes. Champion modern data architecture patterns including data products, data contracts, observability, self-service capabilities, metadata-driven architectures, and AI-assisted engineering practices. Data Products & Business Impact Lead the design and delivery of data products that generate measurable ...
... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...