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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. experience with neuroimaging tools (SPM, AFNI, FSL) is preferred but not required. Posted Job Title Data Analyst Associate Job Profile Title Database Technician Job Description Summary Data Analyst Associate The Psychiatric and Developmental Neuroimaging Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI.
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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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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc) Apple MDM (Jamf, Addigy) experience is a big plus. You have previously worked with MSP tools such as Beyond Identity, Okta, HaloPSA, NinjaRMM, Liongard, Auvik, Jira, Cato, Crowdstrike, Intune, MS Graph API, Hudu, PagerDuty, Rewst, Slack, etc.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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Utilize GCP technologies such as BigQuery for data warehousing, Cloud Storage for data lake solutions, Dataflow for stream and batch data processing, and Vertex AI Pipelines for orchestrating and automating ML workflows.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Strong understanding of relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), and data integration technologies (e.g., ETL tools, data virtualization, API integrations.
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Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Comfortable working with unstructured and semi-structured data (Web scraping). As a Senior Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
$97,750 - $132,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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We are looking for a Lead Big Data Engineer to join our IMS team in Philadelphia, PA. This is an exciting new opportunity to support data excellence and research intelligence projects.
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Adoption ReimbursementDisability Benefits (short term and long term)Life and Accidental Death InsuranceSupplemental benefit programs: critical illness/accident hospital indemnity/group legalEmployee Assistance Programs (EAP)Extensive employee wellness programsEmployee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phoneA career with us, a global leader in communications and technology, comes with big rewards.
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It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big. Here, innovation isn't about another gadget, it's about making Healthcare data available wherever and whenever people need it, safely and reliably.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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big data jobs Title: consultant in Philadelphia, PA
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