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Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads. As a Technical Director, you will be responsible for leading technical projects, hands-on development, delivery management, sales and ensuring the successful implementation of data solutions across multiple cloud platforms.
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Responsibilities:Lead the growth of Data and Analytics practice for Financial Services and InsuranceProvide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Minimum of fifteen years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least ten years of experience specifically in financial services.
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Strong understanding of data, database, AI methodologies as well as hands on relational and cloud based systems (Databricks and/or AWS Cloud experience, Atlan, Alation, etc.) Liaise with CCB Finance Modeling Data Curation team as well as the Finance D&A lead on CCB Finance model data usage/inventory, data marketplace, analyst workbench, and the broader CCB data modernization roadmap to support the team’s modeling and analytics needs.
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Hands-on experience with cost-optimization strategies for data analytics and informatics. Familiarity with DBA activities, master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.
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Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.
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Expert-level professional hands-on experience with data warehousing/RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for SecOps. Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Expertise: Deep knowledge and hands-on experience with Azure Data Factory, Azure Storage Account, and Databricks. Leverage Databricks for complex data processing tasks, ensuring scalability and performance of data analytics operations.
$85,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
$137,200 - $276,100 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As Wells Fargo expands Natural Language Process (NLP) and Generative Artificial Intelligence (AI) use cases, Enterprise Data Science is looking for a talented individual to provide technical leadership on all matters related to use case qualification, infrastructure optimization, data science techniques, innovation, and model risk management.
$207,900 - $431,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Collaborate and build strong partnerships with technology, application owners and data management teams to align on a roadmap for continual improvement (e.g. advanced analytics, cloud adoption etc.
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Minimum 6 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python) Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform.
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Proven hands on experience creating and implementing machine learning applications on the Cloud (Databricks/AWS) Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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data management hands on processing jobs Title: analytics in Holdrege, Nebraska
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