2024. 04. 23. | Teljes munkaidõ | Szeged | Miele Global ServicesAnalytics use cases and projects and derive delivery of the analyses and dashboards to provide data-driven insights to the business departments; design stable, user-friendly reports based on the needs of our stakeholders; working with PowerBI and other data analytics tools; working in a data-oriented team
Nézze később2024. 04. 23. | Teljes munkaidõ | Szeged | Measure StudioOf database-related issues. Ability to pick the best and most optimal solutions for specific problems. Is not afraid to work in plain SQL, Proven track record of external API-focused work, The ability to work a problem from description to solution, bringing own expertise and excellence to the table
Nézze később2024. 04. 23. | Teljes munkaidõ | Szeged | N-iXAs a Principal Cloud Data Engineer/Architect you will provide engineering leadership to create and enhance data solutions enabling seamless integration and flow of data across our data ecosystem which includes AWS. Additionally you will provide senior level technical consulting to peer data
Nézze később2024. 04. 23. | Teljes munkaidõ | Szeged | Link GroupWe are looking for an experienced Data Scientist who will be responsible for statistical data analysis in the area of consumer behaviour. Very good knowledge of SQL, Python, R is required. Requirements 5+ years of experience in a Data Scientist role Excellent knowledge of SQL Very good knowledge
Nézze később2024. 04. 23. | Teljes munkaidõ | Szeged | KalepaWork with serverless technologies and asynchronous workflow. (EC2, Lambda, etc.) Have worked with relational databases with a preference for PostgreSQL Excitement
Nézze később2024. 04. 22. | Teljes munkaidõ | Szeged | MindPalThe performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately. Automating data processing workflows using tools such as Airflow or other workflow management tools. Deploying and configuring tools to monitor and report on the performance
Nézze később2024. 04. 22. | Teljes munkaidõ | Szeged | ITDSOptimal data pipeline and data access architecture SQL and NoSQL database design, and Data Warehouse design skills Knowledge of data integration patterns and tools (Kafka, pub-sub, SQS or similar) Good analytical capabilities Experience with at least one cloud provider (AWS, GCP, Azure) Ability
Nézze később2024. 04. 22. | Teljes munkaidõ | Szeged | VirtusLabBig Query, Snowflake, AWS, GCP, Airflow, Fivetran, Atlan, GitHub, Terraform, Jenkins, Tableau, Monte Carlo, Amplitude, Databricks, various data sources (MongoDB, PostgreSQL, SQL Server, many others) Project challenges 1. Develop a unified, accessible data platform as a single source of truth
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