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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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You have experience working with cloud analytics data platform technologies (Redshift and Databricks preferred). You are familiar with data visualization tools, such as Tableau and Looker.
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Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau.
$241,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data.
$54,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Experience or academic work with large scale data analysis Data Science Internship.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
$209,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
$201,020 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.
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Supervises personnel performing data processing functions in the areas of data entry, data control/coding, production control. At NYC Health + Hospitals, our mission is to deliver high quality care health services, without exception.
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Technical knowledge and expertise regarding health data exchange standards, including but not limited to Health Level Seven (HL7), X12, Fast Healthcare Interoperability Resources (FHIR), JavaScript Object Notation (JSON), push notifications/alerts, master data management (MDM)/master patient and provider IDs (MPIs), error logging, and assured delivery/message acknowledgments.
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The Technical data lead will work closely with the Senior Director of Data Analytics and Functional Data Lead to ensure the data foundation enables the development of reporting and analytical tools that drive business performance and decision-making.
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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS.
$165,100 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
data job Title: senior developer Company: Intuit in Queens, NY
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