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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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Hands on experience building and operationalizing LLM driven AI agents and solutions using Open-AI/Azure ML/Databricks. 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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Openness to learn and stay up to date on the latest trends and technologies in data engineering, particularly within the GCP and Snowflake ecosystem. Minimum 12+ years of experience working in financial services with a strong understanding of investment management data.
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Hands-on experience on QRadar (or QRoC), Proofpoint & Crowdstrike. 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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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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Hands-on experience on XSIAM, Cortex XSOAR. Hands-on experience on Netskope. 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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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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As organizations are called upon to align their priorities and to drive core business objectives and reduce risk, our cyber and strategic risk management team helps clients focus on enterprise- level risks through a wider lens.
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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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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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At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
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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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Expectation to be on-call during off-business hours. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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2+ years of experience in data analysis, machine learning, or data visualization, with a focus on financial crime compliance or related domains. - 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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data engineering financial services hands on jobs Company: Dice
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