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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Preparing charts and statistics from flow and water quality data using softwares such as SAS/JMP, Power BI, ArcGIS or other statistical analysis packages and providing easily communicated.
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Design and develop scalable data ingestion frameworks to transform a variety of datasets, capture metadata, lineage and implement data quality. Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions.
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The Head of R&D Automation platform is responsible for leading the technical design, implementation, testing and deployment of automated processes to accelerate Takeda's portfolio starting with preclinical research and ending with submission with the objective to improve efficiency and data quality across the entire business and data flow.
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights.
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The Data Governance & Standardization team within Data & Analytics (DnA) drives and implements data governance products, services and methods to improve data integrity, quality and governance of enterprise data.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Additionally, this role will actively participate in developing an entire Data Operations framework, will lead our Master Data strategy and will establish our data management operating model which will ensure the highest level of data quality across the firm.
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A baccalaureate degree from an accredited college or university and four years of data processing experience; two years of which must have been in internal control/quality assurance or computer science.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Good understanding of Data integration, Data Quality, and data architecture. The Data Developer will be responsible for working closely with the Business Technology team to code and deliver end-to-end features on Power BI with focus on quality, reliability, and performance.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Ensure a firm wide partnership and commitment across the functions for data architecture, data engineering, data governance and data quality. Establish and act as ultimate owner of enterprise data quality standards and data dictionary and be accountable, in liaison with the data owners, for data integrity at each step of the life cycle of the data production, aggregation / transformation, controls and reporting.
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Data Infrastructure and Technology: Collaborate with data engineering and ML Ops teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security.
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data quality jobs Title: data architect Company: Wells Fargo in New York, NY
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