... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... 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 ...
About ORANTS AI: ORANTS AI is a cutting-edge technology company at the forefront of AI and Big Data innovation. We specialize in developing advanced marketing and management platforms, leveraging data mining, data integration, and artificial intelligence to deliver efficient and impactful solutions for our corporate clients. ...
... enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. The Data Engineer II Will Participate On Data Management Aspects Of Client Engagements To Deliver Test & Learn Solutions And Other ...
... Maintain organized digital records while safeguarding confidential customer, payment, and financial information. Support the Controller and Accounting team with data reviews, record corrections, reporting, and general administrative duties as needed. Previous experience in data entry, order processing, administrative support, ...
... QLoRA, Unsloth)3. Building agentic workflows- Experience working with cloud platforms (AWS / GCP / Azure).Good to Have : - Experience with Apache Beam or similar big data processing frameworks.- Exposure to Document AI and Intelligent Document Processing (IDP) systems.- Experience with OCR pipelines, information extraction, ...
... QLoRA, Unsloth)3. Building agentic workflows- Experience working with cloud platforms (AWS / GCP / Azure).Good to Have : - Experience with Apache Beam or similar big data processing frameworks.- Exposure to Document AI and Intelligent Document Processing (IDP) systems.- Experience with OCR pipelines, information extraction, ...
... Data Analysis and Engineering - Develop and optimise data models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve ...
... retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, ...
... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...
... retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, ...
... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Strong ...
... episodic and long-term memory across AI systems.- Permission-aware retrieval with tenant isolation, document-level security, compliance controls, and audit trails.- Data flywheel architecture transforming production data into training and evaluation assets for future LLM and SLM https://jobeax.com/link/uW4ozJESYI73KG83 Skills ...
... than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. com , or follow us on LinkedIn and X About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, ...
... robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers. Apply schema evolution and data versioning to support agile data development. Platform Integration & Data Ingestion: Connect and ingest data from enterprise ...
... impact, feasibility, and platform strategy Act as the primary interface between business units and data teams Convert ambiguous business problems into structured, data-driven solutions Ensure high adoption by focusing on user experience and business outcomes End-to-End Project Ownership Manage multiple concurrent data initiatives ...
... large databases in a business environment.- Experience with building data pipelines and applications to stream and process datasets at low latencies.- Fluent with Big Data technologies like Spark, Kafka and Hive.- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service ...
... Our mission is to stay ahead of attackers by continuously evolving our detection and prevention capabilities using advanced machine learning, heuristics, and big data analytics. Our team is looking for passionate engineers at Software Engineering II level to join our team. Design and deliver data platform to analyze email ...
... This helps us have a big impact at the enterprise level while still feeling small and nimble. As a Full Stack Senior Software Engineer with a deep interest in data engineering, you will bridge the gap between application development and intelligent data systems. You will play a foundational role in building highly performant ...