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Nice to Have 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.
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Experience with data warehouse solutions like Redshift, Snowflake, or BigQuery, and data orchestration tools such as Apache Airflow. Familiarity with distributed data processing frameworks such as Apache Spark or Hadoop.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
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VALiNTRY is seeking a Data Analyst with experince working Data Managment of Donations or Gifts for non for profit, This position is onsite in Philadelphia, PA. The analyst's duties include gift processing, data integrity management, and various development operations, with an approximate breakdown of 50% gift processing, 25% data integrity, and 25% development operations and other duties, depending on the ongoing activities within the Advancement department.
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IBM Maximo Data migration experience in complex system integration environment Worked as the equivalent of a Data consultant/analyst as all or part of your role with related customer coordination experience in collected data, analyzing data, mapping to data, and finally migration into the target environment and is well versed with IBM Maximo data model and experience of earlier migration from multiple sources.
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Experience with one or more data visualization software packages (e.g., Tableau, Microsoft BI, Qlik, etc.) Background and experience should emphasize data processing and quantitative research skills.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Familiarity with data analysis with statistical software such as R, Stata, or SAS and an interest in learning moreEducation Requirement: A bachelor’s degree in public health, social sciences, economics, data science, statistics, or a related field.
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Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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3+ years of experience with data applications (Spark, Presto, Hive, etc) Designs and builds data processing pipeline using cutting edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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Title: data Company: Neuroflow Inc in Philadelphia, Phenix-city, Alabama
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