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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.
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Strongly Preferred Skills/Experience:Experience using Tableau, Tableau Prep, or other Business Intelligence (BI) tools to visualize data Experience managing and auditing data quality as a database administrator Experience automating processes and managing data with Python.
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Contribute to the ongoing development and maintenance of a modern data architecture, ensuring data quality and integrity. Experience with data warehouse solutions like Redshift, Snowflake, or BigQuery, and data orchestration tools such as Apache Airflow.
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Able to create and generate reports, in collaboration with informatics team, to insurances, city, state, and federal regulatory bodies including all the performance measures and data reporting requirements including but not limited to Meaningful Use (MU), UDS, PCMH, HEDIS, and Ryan White HIV/AIDS program Services Report (RSR.
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General Experience in developing with Microsoft SQL Server Reporting Services, Microsoft Power BI or other major end-user data access toolset (Preferred) The Data Warehouse Developer plans, designs, builds, tests and deploys data warehouse and data mart solutions to support the clinical, and administrative activities at Temple University Health System.
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Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Ensures data quality and integrity by collaborating with cross-functional teams to establish and implement data governance policies and procedures. 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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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Essential Functions:Develop a clear understanding of the data needs and uses as relates to the specific application as well as the larger context within which data is needed and used in by CBH.Develop new custom QuickBase applications to meet the various business needs, focusing on data capture applications with the understanding that the data will be governed and will need to eventually be consumed by a CBH reporting database layer and/or CBH Data Warehouse environment.
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Focused on data modeling, data quality, data integration and data governance. The Senior Architect within the Comcast Software Engineering is responsible for designing, implementing, and maintaining data architecture solutions to support Consumer and Marketing initiatives and strategies.
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Role to support on premise multi data center and cloud initiatives for IS and the company. Experienced with Cisco, HPe compute, VMware, Pure Storage and Telcom based technologies. Strong experience in architectural principles in the areas of on premise, cloud-native/hybrid-multi cloud architectures, container orchestration (kubernetes/OpenShift), microservices and operational best practices across one or more cloud offering Azure, AWS, GCPExperience supporting Azure cloud deployments is highly desired.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.
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Develop and implement standardized quality and logic checks to validate data accuracy and consistency and conduct basic statistical analyses to facilitate decision-making during implementation of a study/trial.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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data quality jobs Title: architect in Camden, NJ
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