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Opis projektu: Rozwijamy platformę Data Lake/Lakehouse w AWS opartą o skalowalne przetwarzanie danych. Budujemy framework przetwarzania danych oraz wysokowydajne pipeline'y ETL/ELT. Stosujemy architekturę…
SUMMARY/JOB PURPOSE: The Associate Principal Engineer – Cloud Platform will support the design and creation of cloud-based products and services to meet the technology needs of Exelixis. This position will help define…
Data Engineer <br> Job Description <br> Exciting opportunity for a Senior Data Engineer to join Domain – CoStar in a period of great opportunity and growth. You will have a direct impact on the continued…
Role: Senior Developer – Modern Data Platform Architect Role Summary We are seeking a highly skilled Senior Developer / Data Platform Engineer to design and build scalable data pipelines and modern Lakehouse solutions…
About this role The Senior Data Engineer (VP) designs, develops, and supports enterprise-scale data platform capabilities using Airflow, dbt, Python, SQL, cloud-native technologies, and cloud data warehouse platforms…
payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to businesses and make them all available in…
About this role: Wells Fargo is seeking a Senior Data Engineer within the Commercial & Corporate & Investment Banking Technology (CCIBT) organization. The role resides in the Enterprise Counterparty Risk…
The Virtual Expert Platform (VEP) Sales Tech organization builds the platform and intelligence that powers how Intuit's sellers connect with prospective and existing customers across the full lead-to-cash journey.…
Position Overview: The Principal Data Architect/Engineer will lead the design, development, and evolution of HomeServe’s metadata-driven AWS Lakehouse platform, combining strategic architecture leadership with hands-on…
Jako firma rekrutacyjna DCG doskonale rozumie, że każda organizacja opiera się na doświadczonych specjalistach. Nasz styl zarządzania oraz partnerskie podejście pozwalają nam skutecznie odpowiadać na potrzeby klientów…
Architectural lead for FactSet's Data Platform serving investment professionals, designing future state data lakehouse and pipeline architecture, creating ADRs, and guiding teams on AWS, Databricks, Snowflake, and orchestration frameworks to power AI-driven data access at scale.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
[What the role is] The National Library Board (NLB) nurtures Readers for Life, Learning Communities and a Knowledgeable Nation by promoting reading, learning and history through our network of 28 libraries across…
About Us Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking…
We are looking for a highly experienced Staff Big Data Engineer to lead a critical Data Migration project for our client. In this role, you will be the driving technical force behind transitioning massive, complex data…
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Data…
The Role As a Principal Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our data…
Are you passionate about delivering quality services and ready to apply your experience at massive scale? Amazon S3 is the storage for internet, and Amazon S3 Tables deliver the first cloud object store with built-in…
Data Engineer at Cisco's Webex Data Analytics Platform team in Bangalore, building and operating big data streaming and processing pipelines using Apache Spark, Kafka, Flink, Iceberg, and Trino. Day-to-day work involves developing data platform components, tuning jobs for performance, and building analytics pipelines on a large-scale data lake.
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