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Implement data fabric using Informatica data catalog, Collibra, Axon, and Informatica Intelligent Cloud Services across priority business domains. Automate central data operations through workload scheduling, issue management, and observability implementation in Informatica Power center, SAS, Talend, and Azure data factory.
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Perform research, data collection, quality assurance, analysis and problem solving (Python, SQL, Informatica DQ, Unity Catalog in Databricks,Triage & remediate data quality, Data integrity or data management issues.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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A minimum of 6+ years of data science/ops research experience preferably within the supply chain industry, demand planning, CPG industry and/or retail replenishment. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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The Statistical Analyst/Programmer in the Lewis Katz School of Medicine's Center for Biostatistics & Epidemiology, provides statistical programming, statistical consultation, data analysis, and educational support to faculty and trainees.
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Planning and execution of big data solutions using technologies such as Hadoop/Spark/Hive. In fact, the big data architect roles and responsibilities entail the complete life-cycle management of a Data flows.
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The EDS group is seeking a Behavioral Health Data and Information Analyst to support in documenting and updating information regarding data systems and business processes used by the Behavioral Health Division (BHD) within DBHIDS, with a focus on supporting the Philadelphia Crisis Line (PCL) unit.
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At least 4 - 6 years combined legal experience at a top law firm and/or in-house legal department, with at least 4 years of privacy/data protection experience. Handle privacy and data protection-related inquiries from a wide range of groups across the company and provide actionable advice and legal counsel to facilitate privacy and data protection compliance.
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Governance, and evolution of the portfolio of IT solutions supporting all of Campbell's Data Fabric / Databricks environment. Experience with Databricks, Azure Data Lake Storage, Azure Data Factory or similar technologies.
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Experience with data warehouse solutions like Redshift, Snowflake, or BigQuery, and data orchestration tools such as Apache Airflow. Familiarity with distributed data processing frameworks such as Apache Spark or Hadoop.
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Manage the Student Information Systems Analyst to maintain key student data and various educational technology systems that integrate with our student information system (including Mosaic, Clever, Illuminate, DeansList, etc.
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Focus on data modeling, data quality, data integration, and data governance. Identify and implement opportunities to optimize data storage, processing, and retrieval performance, including database tuning, indexing strategies, and data partitioning techniques.
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Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Platform architect should have experience with ServiceNow enterprise architecture, security, database design schemas and data modeling, requirements gathering, integration, middleware, and discovery technologies.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data job Title: architect Company: Usaa in Cherry Hill, NJ
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