... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...
... our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success. The Enterprise Data Platforms team designs and delivers secure, scalable, cloud-native technology solutions that support critical business capabilities. The team brings together ...
... 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 ...
... data. Experience with data quality assurance processes. Ability to handle confidential data with discretion. Experience in developing reports and conducting data analysis. Knowledge of designing and managing reporting environments, including data sources, security, and metadata. Understanding of data warehousing concepts ...
E-Commerce Product Development Specialist- Data Scientist You will work with a global team dedicated to the development of E-Commerce products and new methodologies to measure how people shop online. Ideally, you should have familiarity with e-commerce data, retailer data and panel data, and exposure to business intelligence ...
Job Description : Hexaware is urgently looking for Immediate joiners for Data Scientist + Gen AI Lead position. If interested, please share your updated profile on View email address on https://jobeax.com/link/vqHYNEElkLeMxovm Role : We are seeking a highly skilled Lead Data scientist with strong expertise in Generative ...
Location : BangaloreAn exciting opportunity for a Consultant Data Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data https://jobeax.com/link/Hs9HFpL9CgnoXDpa Future Employer ...
... technical concepts to business audiences. - Experience in leading project teams and providing technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization ...
... and unstructured data.- Build and optimize data transformation workflows to support reporting, analytics, and AI initiatives.- Create reusable and efficient data models within https://jobeax.com/link/oFTOv6oANonyhP3Z Data Platform :- Design and implement Snowflake architectures and data warehouse solutions.- Develop Snowflake ...
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...
... right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.
... knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections . - Proficiency in Python, PySpark, and SQL . - Experience in data pipelines, ETL/ELT, transformations, and data quality. - Experience integrating Foundry with cloud platforms, APIs, and databases . - Knowledge of React/TypeScript ...
... metadata repositories and data lineage documentation to track data transformations and dependencies. - Work closely with business analysts, data engineers, and data consumers to gather requirements and translate business needs into data models. - Partner with data architects to ensure data models conform to the data strategy ...
... deploy key infrastructure within the Azure Cloud supporting a wide variety of technology solutions. Working specifically with services in Azure such as Azure Data Lake, Azure Databricks, Azure SQL Data Warehouse, Azure Data Factory, Azure Service Bus, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, ...
... experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault ...
Solution Architect Azure Databricks Data & ML PlatformExperience : 10+ YearsLocation : BangaloreMode : Hybrid / Client-facingRole Overview : We are seeking an experienced Solution Architect with strong expertise in Azure Databricks, enterprise data platforms, Edge-to-Cloud integration, and MLOps to design scalable, secure, ...
... many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of ...
... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...
... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...