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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, Natural Language Processing (NLP), machine learning, and advanced data management technologies.
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We are seeking a Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks. Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML.
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Minimum 12+ years of experience working in financial services with a strong understanding of investment management data. Subject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Senior Manager, Data Engineering.
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Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities-from strategic, reputation, and financial risks to operational, cyber, and regulatory risks-to gain competitive advantage.
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KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research.
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Working experience in security technologies such as: Security information and event management (SIEM), IDS/IPS, Data Loss Prevention (DLP), Proxy, Web Application Firewall (WAF), Endpoint detection and response (EDR), Anti-Virus, Sandboxing, network- and host- based firewalls, Threat Intelligence, Penetration Testing, etc.
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Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, and DBT. The candidate should have hands-on experience with AWS services, particularly Apache Airflow for orchestrating complex data workflows and pipelines.
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4+ years of data warehousing experience (Redshift or Snowflake) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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As a Capital One Senior Manager Data Engineer, you? Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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Perform data analysis to support the transaction monitoring, sanction, KYC and high-risk investigation teams, including performing ad-hoc data analysis, that assist Financial Crime Compliance leadership in decision-making and strategic planning processes.
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Hands-on experience on QRadar (or QRoC), Proofpoint & Crowdstrike. Bachelor of Science/ Bachelor of Technology/ Bachelor of Engineering, with a concentration in computer science, information systems, information security, math, decision sciences, risk management, engineering (mechanical, electrical, industrial) or other business/technology disciplines or equivalent work experience.
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Deloitte's clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. Minimum 6 years of experience working in information security and/or technology engineering support experience.
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data engineering financial services hands jobs Company: Dice in Bentonville, Kansas
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