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As the Staff Data Engineer, you will help work in AI and help build their AWS-based infrastructure and architecture. They are looking for a Staff Data Engineer in the AI space to join their company as one of the first engineers on the team with a clear path to career growth.
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As an Data Engineer Vice President in our Data and AI team , you will contribute to the firm’s objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments.
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As a Senior Data Engineer at TIFIN, you will report straight to our CTO and will be an integral part of the team as a high-impact individual contributor in a fast-paced environment. We are looking for an experienced Senior Data Engineer to join TIFIN and work on generative AI products at various holdings across the business.
$120,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have experience with Python, Data Engineering, AWS, and databricks. Databricks - cloud-based platform built on Apache Spark that provides a collaborative environment for big data processing and analytics.
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As a Snowflake Engineer (Finance), you are responsible for creating robust data pipelines and curating comprehensive data sets. Experience with DBT (Data Build Tool) for data transformation and SAP FICO for financial accounting and controlling is highly preferred.
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As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE.
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Data Integration Engineer with hands-on experience in designing and implementing data warehouses and data marts for large financial institutions. Developing and maintaining complex ETL mappings, workflows and Unix shell scripts in a normalized/denormalized data warehouse/data mart environment based on technical specifications and other supporting documentation, utilizing Informatica PowerCenter, Unix Shell Scripts, advanced SQL, Python, AWS services and Autosys Enterprise Scheduler, Performing Unit Test, System Integration Testing, User Acceptance Testing, Disaster Recovery and regression testing activities.
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As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle's infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
$147,500 - $227,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Role: Azure Data Engineer. Create and maintain data pipelines via Azure Data Factory, SSIS and Azure Databricks." " Strong knowledge of Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse Analytics, and Azure SQL Server.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Minimum of five years experience in designing, installing, and supporting data networks, rack server hardware, data backups, Active Directory, and Microsoft Windows servers. It also includes the maintenance and configuration of Azure and Microsoft 365, Exchange email, and a data backup system.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Sr. Data Engineer/Architect - Remote. Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.) Data Engineering - Databricks - PySpark.
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As a Senior Software Engineer, you are responsible for building complex backend systems that are responsible for Trepps core structuring application and providing technical leadership in support of the companys initiatives in data ingestion and pipeline automation.
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Manage data migration projects from legacy systems to Snowflake, ensuring minimal disruption to business operations. Design, build, and maintain scalable and efficient Snowflake data warehouse solutions tailored for financial industry applications.
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Title: data engineer in New York, NY
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