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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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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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You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Highly proficient working in Azure cloud environment (e.g. Blob / ADLS, Databricks, Azure Data Factory, Event Hub) 3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions.
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Conducts research as directed by attorneys in areas supported by Shared Services Law and Compliance, such as privacy, cybersecurity, business continuity, record retention, Anti-Money Laundering and financial crimes, intellectual property, vendor risk management/contracting, marketing, electronic communications, digital capabilities, data/information technology management & governance, artificial intelligence, and data analytics with other research and support as assigned.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Experience in working with Cloud data warehouse like Snowflake, AWS Redshift, Azure Synapse or Google BigQuery. 7+ years experience in Data modelling, Business Architecture and developing Data warehouse solutions on OBIEE, Informatica, Snowflake environments.
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The ideal candidate will have healthcare data/AI experience and background in genomics and real-world evidence data studies. Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses.
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Act as key product representative for mid to large size sales enablement opportunities where system integration and data migration is in scope. The Product Owner is the main point of contact for System Integration including API and Data Migration to unify customer experience across GETAC Enterprise platform.
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Experience of clinical data abstractor, data entry, or similar role in a healthcare setting. Department of Surgery (DOS, at the University of Minnesota is seeking a clinical data annotator to join a team working on multiple research projects in the field of health data science and natural language process, computer vision in the Division of Computational Health Data Sciences (CHS) at the DOS. The position is a hourly paid position.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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Certified Snowflake cloud data warehouse Architect (Desirable). Minimum 5 of years of experience in: Snowflake Data Solutions, hands-on Data warehousing methodologies and modelling techniques Data migration methods of on-prem to cloud data solutions including ELT/ETL Tools and concepts Working with Batch and Stream data SQL, preferrable Snowflake SQL Massively Parallel Processing (MPP) Analytical Datastores.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Apogee's Data Strategy & Governance organization focuses on implementing processes and solutions for Data Governance, Master Data Management and Data Analytics. Experience with the Microsoft Power BI data visualization tool.
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data job Company: 83bar in Minneapolis, MN
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