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As the Data Quality Manager, you will be responsible for developing and implementing procedures to identify, monitor, and resolve data quality issues across the data ecosystem.
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Develop high-quality data engineering solutions focusing on cloud-first principles, encapsulation, repeatability, automation, and auditability. Proficiency in developing data quality and validation routines.
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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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Responsible for data quality and verification, data delivery, change management processes used for data extract corrections, and modification and enforcement of data standards and policies for data exchanges to FSSA and OMPP as defined by the State.
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Proficiency in GD&T, Blueprint Reading, Quality Inspection, Quality Control Data Analysis, Injection Molding, and AS9100. Seeking an experienced Quality Manager (also known as Quality Assurance Manager, Quality Control Manager) with a background in Plastic Injection Molding.
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Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
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Maintains accuracy in abstraction by following published guidelines and abstraction specifications; maintain accuracy and integrity of audit information by following standards and guidelines; facilitates and participates in quality assurance audits of abstracted/audited data to ensure a high level of inter-rater reliability among the clinical data abstractor team and achievement of acceptable validation results from external audits.
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DE developing SQL scripts to extract large complex datasets and applying data quality checks to improve data quality, consistency, and integrity using PostgreSQL and PL/SQL; and performing advanced calculations on metrics, investigating key business trends, and providing actionable insights to support business growth and decisions using Alteryx and MS Excel.
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The CDM / Senior CDM will report to the Head of Clinical Data Management and will work closely with a cross-functional team in a fast-paced high growth environment team to ensure that clinical data are complete, high quality and delivered on time and budget.
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Experience with proteomics and/or metabolomics data generated through mass spectrometry. In general, as a computational biologist at insitro, you will be in charge of performing analysis of large scale datasets with an emphasis on multimodal measurements and data integration.
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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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Perform periodic code reviews and test plans to ensure data quality and integrity. Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance, metadata management (ex.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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data quality jobs Title: senior data engineer Company: Randstad
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