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This role has production responsibility for the organization’s Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Required Skills: Python, VBA, SQL, Big Data Analytics, Business Intelligence, Cloud Computing, DevOps, Machine Learning, Time Series Forecasting, Customer Segmentation, Data Exploration, Data Mgmt, Data Wrangling, Data Processing, Data Manipulation, Data Scrapping, Data Mining, Exploratory Data Analysis, A/B Testing, Hypothesis Testing, ETL, Anaconda (Spyder, Jupyter), Tableau, Looker, HTML, Linux, Google (BigQuery), marketing analytics, marketing ecosystem, marketing campaign motivations.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Proven experience in transforming our clients from on-prem data platforms to the cloud. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform. Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Completed upper-division courses in Computer Science, Statistics, research-oriented Social Science (e.g. Psychology, Economics, Sociology, Criminal Justice). The Data Intern will be charged with assisting members of the analytics team with various tasks.
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Understanding of Data Engineering, Data Science, Machine Learning, and AI workflows and their optimization. Establish data governance policies, procedures, and controls to ensure data security, privacy, and compliance with regulatory requirements in cloud environments.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Experience with cloud computing services (AWS, Azure, GCP) and their data-related services. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.
$160,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
data science cloud computing social jobs Title: analytics
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