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Exposure to AWS cloud data pipeline tools such as Managed Airflow and Glue. Experience integrating with Ad Tech platforms such as Operative and STAQ. Exposure and opinions regarding alternate orchestration tooling beyond Airflow.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow, Github. Proficiency with data visualization tools such as Tableau, Looker. The Walt Disney Company Direct to Consumer’s (DTC) Data organization is looking for a Senior Data Analyst to join our International Data & Analytics team to support a growing ecosystem of Disney’s streaming offerings.
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Proficiency in Python, R, SQL and experience with data visualization tools (Looker, Tableau) Data Visualization: Create informative and visually appealing reports, dashboards, and data visualizations to communicate insights to cross-functional teams, with tools such as Looker Studio and Tableau.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID. Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Manager) (Multiple Positions), Ernst & Young U.S. LLP, New York, NY.
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Noncriminal Justice Applicant's Privacy Rights, for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back, FD-258 Privacy Act Statement - FBI (this is the same statement used when your fingerprints are submitted as part of your background investigation), and.
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As a result, we've created a cutting-edge data platform that offers businesses fully managed open-source solutions such as Clickhouse, Kafka, etc., so data engineers can focus on what they love - building awesome solutions, instead of having to waste time on repetitive tasks related to scaling demand up or down, installing updates, deploying additional software and all the other boring but necessary admin that comes with data technologies.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Have experience with technologies such as Sci-kit learn, Pytorch, Tensorflow, ML Flow, Airflow, data warehouses (e.g. Snowflake, Redshift, etc) Our team has built a number of ML/NLP models to automate data processing and entity resolution across a wide array of our core datasets.
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This means balancing competing priorities and laying the groundwork for scale while building top-tier data products. Work with data product managers and business partners to ensure requirements can translate into data engineering solutions, anticipating challenges to provide suggestions proactively.
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Security and Compliance: Implement and monitor security best practices, compliance standards, and vulnerability management processes to safeguard systems and data. Expertise in cloud architecture/platforms (i.e., AWS, Azure, GCP), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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Ability to proficiently read and interpret medical records, claims data, pharmacy, lab reports and prescriptions required. Prepare member-oriented plan of care with member, caregivers, and health care providers, integrating concepts of cultural sensitivity and privacy practices.
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Experience with statistical data analysis software (e.g., R, Stata, SPSS) and/or advanced Excel skills, including analytic functions (i.e., Pivot tables, formulas, etc. Experience with quantitative and qualitative research methods: Literature review, survey design, focus groups and interviews, data collection and analysis.
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Maintain individual and bulk constituent information, gift and pledge data using available departmental tools and internet resources, including: Blackbaud’s the Raiser’s Edge/ NXT , Anthology, ImportOmatic, Asana, social media, LinkedIn, Google alerts and Legacy.com.
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A master's degree from an accredited college or university in epidemiology, biostatistics, sociology, or similar fieldExperience (at least three years) analyzing public health data in an applied setting using R, SAS, or similar statistical software.
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You are fluent in Python, the Python data science ecosystem (pandas, numpy, and data visualization toolkits), know your way around SQL and the shell, and keep your code in Git or an equivalent DCVS.
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data privacy jobs Title: compliance specialist Company: Metroplus Health Plan in Fresh Meadows, NY
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