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7 years of experience leading and developing automated Informatica data pipelines with at least 4 years Informatica cloud (IICS) and relevant knowledge in data profiling, data quality, catalog tools.
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7 years of experience working in enterprise data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS, Snowflake), S3 Datalake, CICD, Jenkins and AWS cloud technologies.
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5 years of experience designing, implementing automated data solutions using Snowflake lakehouse; building workflows, developing, and scheduling ETL processes using programming SQL or Python. 7 years of experience in Technology, Data Engineering field in architecting, developing end-to-end scalable data applications and data pipelines; work with product manager and scrum masters and lead the team in assisting the story creations and sprint deliverables.
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7 years of experience working in enterprise data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS, Snowflake), S3 Datalake, CICD, Jenkins and AWS cloud technologies 5 years of experience designing, implementing automated data solutions using Snowflake lakehouse; building workflows, developing, and scheduling ETL processes using programming SQL or Python.
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Providing quality assurance/quality control (QA/QC) reviews of field data and deliverables. BGE, Inc. is a nationwide consulting firm that provides services in civil engineering, planning, landscape architecture, construction management, survey, and environmental services for public and private clients.
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Conifer Health helps organizations transition from volume to value-based care, enhance the consumer and patient healthcare experience and improve quality, cost and access to healthcare. Responsible for the prompt and accurate entry of all referral information into the company’s data entry system within one day of receipt for non-urgent requests and within 4 hours for urgent requests.
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The Principal Data Engineer will develop strong collaborative relationships with key technology and data teams and will be responsible for data modeling, applying data quality rules & standards, leveraging the latest technologies, and performing proof-of-concept tasks to evaluate new data systems, products, and data source performance.
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Preference will be given to those candidates who can demonstrate experience in FHWA’s Traffic Noise Model (TNM software, technical writing, CAD or Microstation, field noise data collection, and quality control reviews.
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Primary responsibility for analyzing and timely reporting of key Revenue Cycle metrics - prepares and maintains internal reports for Management review, including DSO, aged AR, write offs, and productivity measures with attention to detail, quality and accuracy.
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Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management.
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Build and Deploy extensive data quality checks to ensure high quality of data. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL, R and/or Python. The AML Analytics Senior Advisor will be responsible for assisting the Anti-Money Laundering Analytics program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime.
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The Data Quality Analyst will support the definition of data quality standards, requirements, and specifications for data quality controls in the data lifecycle.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
$136,032 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a smart and friendly data center enthusiast with a knack for problem solving, follow-through, and communication to join Epic’s hosting team for work in our data centers across the United States but based in the Verona, Wisconsin headquarters.
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