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SOBRE A GETNET A Getnet é a fintech líder em soluções de pagamento na América Latina e na Península Ibérica. A empresa oferece soluções multicanais robustas e flexíveis que se adaptam às necessidades dos clientes,…
Om företaget Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och…
P-1701 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems: from making the next mode of transportation a reality to accelerating the development of medical…
Senior Data Engineer (Databricks) - London (Hybrid) - Up to £90,000 We're working with an innovative, data-driven organisation that is investing heavily in its Databricks platform and looking to add a Senior Data…
Designs, optimizes, and maintains large-scale data infrastructure and pipelines on GCP/BigQuery, bridging model development and production while automating CI/CD workflows.
Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países. É dono das marcas O Boticário, Eudora, Quem Disse, Berenice?, Vult, O.U.i, Dr. JONES, Tô.que.tô,…
Gini Talent is seeking an experienced Data Engineer for a fully remote, 6-month contract focused on Azure Data Services and Microsoft Fabric. You will design, develop, and optimize data platforms and analytics…
Основные задачи: Разрабатывать автоматизированные проверки качества данных (SQL, PySpark, SparkSQL) Проектировать и поддерживать правила Data Quality для новых источников данных Разрабатывать и сопровождать Data…
Microsoft Fabric Solution Architect – Azure / SQL Location: Northville, MI Work Arrangement: Hybrid / Onsite Employment Type: Fulltime Job Summary We are seeking an experienced Microsoft Fabric Solution Architect to…
Job description: Roles & Responsibilities and Skillset: Snowflake Architect: Responsible for designing the overall Snowflake platform strategy, architecture, standards, governance, and future roadmap. 1. Platform…
Data Engineer designing and maintaining scalable, low-latency data pipelines and infrastructure for real-time threat detection and risk scoring, using Python, SQL/NoSQL, Spark, and Kafka.
Develop scalable ETL/ELT pipelines, Lakehouse models, and Data Warehouse solutions using Python, Azure, and Fabric, while creating interactive Power BI dashboards to drive business improvements.
Administer and support Cloudera, Hadoop, and Spark environments across hybrid AWS and on-prem infrastructure. Manage platform upgrades, security patching, and containerized platforms like Kubernetes/OpenShift while optimizing AI/ML services.
Design, build, and modernize cloud-native data pipelines, streaming systems, and data lakehouse solutions using Spark, Iceberg, and Python for a leading bank.
Designs, builds, and operates cloud-native data platforms and pipelines using AWS, Spark, and Python to support analytics and decision-making at OCBC.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Resident Solution Architect (Databricks) based in United States. This is a senior,…
Help make the world more hospitable The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that…
Technical Architect – Microsoft Fabric Data Platform Location: Atlanta, GA Fulltime Experience: 12– 20 years Tagline: Platform Architecture | Microsoft Fabric | AI-Accelerated Delivery | Insurance Claims Modernization…
Goldman Sachs Group, Inc. in Dallas seeks a Vice President Data Engineer to help build a Lakehouse and AI data platform, delivering reliable data pipelines and scalable data products. You will design, implement and…
Leads Databricks Lakehouse Platform architecture, delivery, and adoption for enterprise data programs, acting as a trusted advisor to clients to design scalable data solutions and drive business value through modern data platforms.
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