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Data Management: Manage large datasets including data extraction, organization, quality control / quality assurance (QA/QC) and compliance with data privacy policies.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Role DescriptionDropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at DropboxDo you dream about Data and talk to your friends in SQL.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeA Senior Governance Engineer is a leading technical contributor who can consistently take a loosely defined business or technical requirement, architect and build it to a well-defined specification, and execute on it at a high level.
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As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience.
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Reporting directly to the Assurance Program Manager, you'll serve as the anchor for quality assurance in the field. What is Required:Field Quality Manager Level 2: Bachelor's or advanced degree in Engineering, Construction Management, or equivalent construction field experienceMinimum 7 years of experience in managing quality management programs for large, complex construction projects with moderate to high performance risk.
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Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary. Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows.
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Data Quality and Governance: Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data in the warehouse. Our mission is to develop scalable and efficient data warehouse solutions that empower organizations to make informed decisions based on high-quality data.
$140,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Own and evolve the core of the data pipeline and lifecycle at Directly, whether that involves growing the data model and schema, or implementing systems for data quality and furthering data management through ETL, or improving the efficiency of data ingest.
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Conduct thorough exploratory data analysis and preprocessing of Earth observation data to ensure data quality and suitability for analysis in carbon monitoring and climate-related applications.
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Experience with data cleaning and data quality control. Under the direction of the Principal Investigator and co-investigators, the Data Manager will provide data management and analytic expertise for a study to compare the effectiveness of two different models of enhanced prenatal care available to low-income (Medicaid-eligible) women in Fresno County: "Glow.
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Check out our locations, benefits, and more at Job DescriptionThe Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole.
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Implement the data analysis pipelines using standard Big Data technologies (Spark, Airflow) Opportunity to expand your knowledge of data engineering tools and platforms using state-of-the-art tech stack.
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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Cross-train with Bankers and Client Services staff to have a well-rounded understanding of the banks deposit products and transaction processing to have a clear grasp of BSA/AML/KYC policies and how the quality review of documentation impacts other deposit business units.
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Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Plan and implement post go-live operational support structure for Oracle cloud environment to provide day-to-day user support, recurring update & enhancement management, master data management, reporting & analytics support, integration management, system health KPI tracking, etc.
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data quality jobs Title: enterprise architect Company: Cognizant in Oakland, CA
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