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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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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.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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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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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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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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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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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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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Good understanding of SLES and RHEL and ability to architect HA setup involving Linux Pacemaker and similar supported HA solutions for SAP HANA DB and SAP Central Services. Working knowledge of Unix shell scripting, Python, Automation tools such as Ansible AWX/Tower, Terraform, DevOps tools such as Nexus, Bitbucket, GitHub, Jira, Jenkins.
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data job Title: architect Company: Usaa in Philadelphia, PA
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