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Big Data Jobs in New York

1 - 15 of 87
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1 - 15 of 87
Search Results - Big Data Jobs in New York
Gamen Group-New York-smartsearchonline.com-
Are you a technology enthusiast that enjoys researching and selecting new technologies? Are you committed to delivering efficient and elegant technology-based solutions? Are you fascinated by BIG DATA, and the tools that enable previously thought...
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Capital One-New York-
Sr. Lead Data Engineer (Enterprise Platform Technology) at Capital One summary: The Senior Lead Data Engineer at Capital One leads a team to design, develop, and implement advanced data engineering solutions using big data, cloud technologies...
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Enterprise Engineering Inc. (EEI)-New York-
in Servicenow or Jenkins  •  Proven experience handling incident resolution, root cause analysis, and problem tracking within ITSM tools. Preferred Certifications:  •  ITIL Foundation or higher.  •  Snowflake Certification.  •  Any relevant certifications in big data...
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Capital One-New York-
leveraging cloud technologies to manage large-scale, sensitive financial data. This role involves technical leadership, cross-functional collaboration, mentoring, and driving innovation in data architecture, machine learning deployment, and big data...
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Saragossa-New York-
warehouses and data lakes, while implementing best in class data quality and governance practices. You will work hands on with big data technologies such as Hadoop, Spark, and Kafka, and you will play a critical role in troubleshooting, performance tuning...
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Capital One-New York-
Python, and Scala. The role involves driving technological innovation, managing Agile teams, and delivering scalable, data-driven products for customer empowerment. Candidates should have extensive experience in big data, cloud computing, distributed...
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CYNET SYSTEMS-New York-resume-library.com-
to write complex SQL queries.  •  Big Data architecture design.  •  In-depth understanding of Data Warehouse/ODS, ETL concepts.  •  Performance tuning for large-scale system. Preferred Skills:  •  Al-driven data processing exposure is plus.  •  -Cloud data...
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Sage IT INC-New York-jobvertise.com-
ob Details: 1. Salesforce 2. GCP Core Services and Data 3. SQL Nice to have skills (Top 2 only) 1. Design and Development 2. Must have experience in Salesforce as the core technology with hands on experience in GCP coreand data services...
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Capital One-New York-
requires extensive experience with big data, cloud platforms, programming languages, and mentoring engineering teams to drive technological transformation. Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations...
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Synechron-New York-
Java, or other languages used in trading systems.  •  Knowledge of machine learning and statistical modeling techniques.  •  Experience with big data tools like Spark or Hadoop....
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Capital One-New York-
Lead Data Engineer - Capital One Software (Remote) at Capital One summary: The Lead Data Engineer at Capital One Software leads the design, development, and implementation of cloud-based data management solutions using modern big data...
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Capital One-New York-
of experience with AWS, GCP, Azure, or another cloud service  •  2+ years of experience with containerization technologies  •  4+ years of experience in open source frameworks  •  5+ years of people management experience  •  2+ years of experience in Big Data, Data...
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Capital One-New York-mindmatch.ai-
At Capital One, youll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One...
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Capital One-New York-
as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.  •  Retrain, maintain, and monitor models in production.  •  Leverage or build cloud-based architectures, technologies...
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Capital One-New York-mindmatch.ai-
to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models...
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