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On the Data Science team, we're looking for someone who is comfortable working on a variety of ad auction and placement optimization problems, using experimentation to improve our ads systems, and helping to lead our team in balancing monetization and quality of experience considerations across our streaming service.
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As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.
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Drive the adoption of agile methodologies and DevOps practices to ensure efficient and high-quality data engineering processes. Gather, transform, clean, and secure data from many sophisticated, state-of-the-art sources and destination ensuring data quality, integrity and compliance with industry standards.
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Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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Experience with reliability engineering specifically in areas such as data quality, data observability and incident management. Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Experienced in several of the following domains: biomedical informatics, outcomes and health services research, clinical trials, clinical decision support, population health and claims analytics, quality metrics and reporting, data security, privacy and regulatory compliance, and data governance.
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We are hiring for a Principal Product Manager (Technical) to drive the evolution of products which provide Amazon business teams and selling partners (marketplace sellers and retail vendors) with comprehensive, accurate, and standardized metrics in a timely manner to enable high quality, high velocity decisions.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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The Senior Research Scientist will assist in the development and maintenance of analytic datasets incorporating data from multiple sources including prospective cohort study data, clinical trials, and qualitative data, to develop and implement study designs while maintaining data quality assurance procedures to ensure validity and reliability of study results.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$139,800 - $319,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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data quality jobs Title: scientist Company: Deloitte in Secaucus, NJ
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