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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Lead various EDM projects (ranging from assessment/strategy to implementation and sustainment) delivering data governance, data quality, data architecture, metadata, master data, data privacy/security, analytics & reporting, and data lifecycle management capabilities.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Possess a working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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We are a clinician founded , clinician-ledTM , dental service organization that has been delivering high-quality, dental care to patients since 2008. Assuming the quality of care for guests while adhering to the highest standard of dental practice ethics and professionalism.
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2+ years of experience in master data management and data quality concepts. 2+ years of experience with Data Management, Data Architecture, and Data Quality.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) You will collaborate with our Operations, Product, Data Science, Sales, and Business Intelligence teams and own key financial decisions related to E2E value creation.
$60,200 - $128,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in at least six of the follow technical areas: network design and development; data center network services; virtual private network (VPN) services; Trusted Internet Connection (TIC) Services; network backbone services; collaboration with external Internet service providers (ISPs); Voice over IP (VoIP) implementation and quality management; wireless networks; IP address management (IPAM) services; Dynamic Host Configuration Protocol (DHCP) Services; and Cloud Network Services.
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Our Security Incident Management Technical Sr. Analyst - Amazon Web Services (AWS) is a member of a service team with upwards of four (4) personnel within the Information Security Operations group that are focused on incident response, data spillage response, eDiscovery/legal retention, phishing/spam/malware response, and threat hunting.
$86,500 - $129,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi. As a data strategist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas. Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
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Lead a team of developers and clients will be a mix of clinicians, computer scientists, data architects, and life science SMEs. May wear multiple hats: architecture design and development, code reviews, mainframe deployment and customization, responsible for the system quality of the solution being delivered to the business.
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Executes quality complaint investigations, root cause analysis, troubleshooting, data collection and proposes solutions. R eporting to the Director of Quality & Continuous Improvement this position is responsible for Quality and Safety KPIs for our Arlington location within the EverTec business unit.
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data quality jobs Company: Amazon in Arlington, Mililani-town, Hawaii
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