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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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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.
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Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.) This includes new features and architectural improvements for our data pipeline and analytics tools, such as Looker, dbt, Databricks, Fivetran, Airbyte, and AWS Redshift.
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Applications may include but are not limited to study monitoring systems, data management systems, workflow execution and monitoring systems, interactive viewers, and reporting tools, including, but not limited to, the following tools: + MindLAMP ( ) - using AWS + DPdash ( ) - using AWS + Lochness ( ) on local server + Support data engineering efforts, including database and API design, data extraction/ transformation/load, and data aggregation/integration.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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A proven track record with 1-3 years in business intelligence, data engineering, or a similar role where data visualization isn’t just a task—it’s an art. Partner with our innovative teams to weave complex data into compelling narratives for business optimization.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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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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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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This role is crucial in overseeing user administration, managing Azure storage solutions, and implementing CI/CD pipelines using Azure DevOps. By leveraging a deep understanding of Databricks architecture and proficiency in scripting languages, the administrator will automate tasks and enhance the efficiency of data operations.
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As a Manager, Data Analytics & Insights on the Financial Intelligence Unit (FIU) Analytics team, you will play a key role working closely with members of Fidelity’s FIU team, customer-facing business units, and key data providers to find opportunities where data can provide insight into fraud.
$112,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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You will be responsible for providing technical leadership managing data and information risks related to product development, technology solutions, crisis management, governance risk, compliance and data privacy.
$365,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Additionally, you may be involved in the analysis of genetic data generated by projects such as eMERGE (Electronic Medical Records and Genomics), UK Biobank, All-of-Us, KPMP (Kidney Precision Medicine Project), and the APOLLO (APOL1 Long-term Kidney Transplantation Outcomes) projects.
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Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake. Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
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data job Title: data manager Company: Rackspace Us in Jersey City, NJ
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