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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics Redshift, Glue, Azure EMR, Azure Kinesis, Step functions. Hands-on experience in Azure services i.e. Azure, Lambda, API Gateway, SQS, SNS, RDS, Aurora, Cloud Watch.
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Proficiency in Python, R, and SQL is essential, along with experience managing data lakes such as Google BigQuery, AWS S3, or Azure Data Lake. Familiarity with data visualization tools like Power BI or Tableau, and a robust understanding of data governance and best practices, are crucial.
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Hands-on experience with downstream processing techniques such as chromatography (affinity, ion exchange, size exclusion), filtration (depth filtration, tangential flow filtration), and UF/DF.
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Hands on experience in building data pipelines using Databricks, API for various source systems. In depth knowledge on few of the key Azure services - VM, Storage, Azure SQL, VNet, Redis Cache, Resource Manager, Azure Diagnostics/ OMS, Traffic Manager, Azure CDN, Azure Notification Hubs, Azure Identity and Access Management, Infrastructure as Code etc.
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Infrastructure Management: Manage and optimize data infrastructure, including cloud platforms (e.g., AWS, Azure), databases (e.g., PostgreSQL, Clickhouse), and data processing tools (e.g., Airbyte, Apache Spark, Hadoop.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Must be familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Define and develop artifacts outlining data dictionaries, definitions, flows and lineage across various systems and business processes across the enterprise, and aligned with RBC’s data governance strategy where appropriate.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with Snowflake or Databricks. Expertise working with cloud platforms (e.g., AWS, Azure, GCP) and their data services. Proficiency in data warehousing solutions (e.g., Redshift, BigQuery, Snowflake, Databricks.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ.
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The Gift Processing Manager will supervise the Gift Processing Associate and will be responsible for ensuring the accuracy and timeliness of all gift data in Tessitura and on various reports distributed.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure and AWS environments for data management and data mining; experience with Network Security concepts such as client-server SSL, stringent or zero-trust model.
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Hands on experience with media measurement approaches including marketing mix modelling (MMM), multi-touch attribution (MTA), experimentation, and brand lift studies. Experience creating data visualizations in support of decision making and data storytelling in platforms like Tableau, PowerBI, or Looker.
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Kafka Microservices SQL, Oracle, or MongoDB Cloud Platforms (Azure preferred; AWS, GCP acceptable) Data Management Tanzu. Hands-On Development: Actively participate in coding, debugging, and implementing solutions, while leading the engineering team.
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hands on azure data processing jobs Title: applied scientist in New York, NY
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