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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Own reference data and investment characteristics of multiple security types while supporting Portfolio Management, Quantitative Research, Trading, and other Firm constituencies. The Data Management Analyst works closely with personnel in Investment Management, Performance Analytics, Securities Operations, IT and other groups and clients, as needed.
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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We are looking for an individual to join the Renaissance Integration and Testing team as Director, Software Engineering, to lead the Test Data Management and Day 0 migration projects. Develop and execute integration test strategy Test Data Management (TDM) and Day 0 migration.
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Minimum of 5 years of experience in data management, data engineering, or related role. Stay updated with the latest trends and technologies in data management, cloud computing, and big data analytics.
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Experience working in banking and payments domain CIB - Data Management Developer. Provide technical guidance and mentorship to junior data management team members. The ideal candidate will have a strong background in data management, programming, and cloud-based data platforms.
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Experience with other data management tools and technologies. Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications.
$55 - $60 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Collaborate directly with stakeholders, end-users, Product Owners, Business Analysts, and functional partners – Data, Information Security, Identity Management, Compliance, Legal, and Risk.
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Hands-on experience with DataBricks for building and optimizing data pipelines. Proficiency in managing and administering cloud-based data platforms such as Snowflake and/or Redshift. Manage and administer cloud-based data platforms such as Snowflake and Redshift, ensuring high availability, scalability, and performance.
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Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
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The role is responsible for all data operations activities on master data domains in NA. This team is part of GBS Strategy to deliver on data management operations through process excellence, digital transformation and customer centricity.
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The IT Analyst, Master Data Management will play a critical role in defining, coordinating, implementing, and technically enabling MDM for data across various systems relevant to Komatsu North America Region and Global Mining.
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Role: Data Management Developer - Implement data governance policies and procedures to ensure data quality, consistency, and security. Develop and maintain data pipelines using PySpark to process and transform large volumes of data.
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7+ years of data management and analytics experience in either banking, consulting, or cryptocurrency. Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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Title: data management Company: Pinnacle Marketing Group in Chicago, IL
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