... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...
... & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service ...
... high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives. Key Responsibilities: Design and implement data annotation guidelines to maintain consistency and accuracy across datasets. ...
... Responsibilities ERP & Supply Chain Operations - Use ERP systems such as SAP, Oracle, NetSuite, or similar platforms at a user level. - Support supply chain workflows and data-entry activities within ERP environments. - Apply practical understanding of ERP-supported supply chain processes. Demand Planning & Forecasting - Build straightforward ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language ...
... and reliable data platforms, including data pipelines, storage solutions, and processing systems - Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies - Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, ...
... Support database upgrades, patching, and migrations Collaborate with DevOps, application, and cloud teams Participate in on-call support rotation (24x7) Perform database tuning, monitoring, and performance optimization to ensure database health and security. Ensure security best practices for cloud databases, including encryption, ...
... Implement real-time and batch data integration solutions based on business requirements.- Develop data transformation, harmonization, and business logic within Datasphere.- Optimize data models, SQL queries, and data flows for improved performance.- Manage Spaces, Users, Roles, and Authorizations within SAP Datasphere.- Participate ...
... a part of Database Engineering team and responsible for database administration for Postgres RDS and No-SQL database management. You will be responsible for database design, data architecture, data modeling, performance tuning and capacity planning. You will evaluate, configure, and install database management systems. ...
... engineering and architecture teams during system design and sprint planning to provide expert guidance on data modeling and schema design. Advise on optimal data structures, collection/table/keyspace design, and access patterns for each database technology. Enforce data security policies including encryption at rest and ...
Join Data Eminence as a remote Game Developer and help design, develop, and optimize engaging interactive gaming experiences. You'll work on gameplay systems, game mechanics, user interactions, performance optimization, and debugging. This role is ideal for entry-level candidates with strong programming fundamentals, creativity, ...
... respond to customer questions, troubleshoot issues, provide clear solutions, and work with internal teams to resolve customer concerns. This role is ideal for entry-level candidates with strong communication skills, patience, problem-solving abilities, and a customer-focused mindset. Full Description Data Eminence is seeking ...
... between the business, employees and that provider, making sure inputs are accurate, output is thoroughly checked, and queries are resolved quickly. This isn't a data-entry role. You'll also support the finance team with accounts payable, invoicing and reconciliations. A role for a genuine payroll subject-matter expert: detail-oriented, ...
... 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, ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
MDM Data Engineer Location: Remote (Offshore) Full time Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power ...
... cost.- Big-data and pipeline fluency: Advanced SQL plus distributed processing for large spatial workloads (Spark or Dask), and building reliable, repeatable data pipelines.- Productionizing models: Experience turning models into deployable, real-time APIs in collaboration with engineering - clean, tested, well-documented ...