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Proven applied experience in implementing a variety of data mining and statistical methods, utilizing a range of big data tools, and constructing and implementing machine learning models and algorithms.
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Programming: Python, R, Java/Scala, Bash, C, or other languages. ETL/ELT pipelines: Databricks, Snowflake, dbt, or other warehousing platforms. Programming: Python, R, Java/Scala, Bash, C, or other languages.
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Experience working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Scala. As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization.
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Propel business insights and directions through rigorous statistical analysis and data interpretation on extensive medical datasets. Experience with cloud-based data platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Good professional experience with SQL databases and PL/SQL programming, as well as database design (with a focus on Oracle); in Data Integration projects using an RDBMS and ideally an ETL tool (e.g., Oracle Data Integrator (ODI), Informatica PowerCenter, Talend or Ab Initio.
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One of the following programming languages: Java / Scala, Python, Node. One of the following programming languages: Java / Scala, Python, Node. 20 days of remote work from abroad. Strong DWH experience with diverse data models (Immon,Kimball, Data Vault 2.0.
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Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, R, DataBricks, Github, MLFlow, Airflow) You have a keen eye for improvement opportunities and a demonstrated ability to deliver using software engineering and MLOps skills while working across the full stack and moving fluidly between programming languages and technologies.
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Data Engineer III (Tableau Developer & Python Programming) page is loaded. Data Engineer III (Tableau Developer & Python Programming) Familiarity with programming languages such as Java, Python, or similar.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics, Media Account Management, and Solutions Engineering teams.
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Experience with programming languages (e.g., Python R) for data manipulation and analysis. Experience in data visualization and reporting tools (e.g. Power BI, Tableau, Looker ) for analyzing and presenting insights derived from Snowflake.
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Experience with statistical programming, including R and/or SAS preferred. The Data Manager/Data Scientist will also work with the Centers for Disease Control and Prevention (CDC) and the California State Water Resources Control Board (CA State Water Board) on data standards and formatting, and automated data transmission through application programming interfaces (APIs.
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Statistical tools – R, SAS, SPSS, Matlab, Minitab. Data Prep/Transformation tools – Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend. Database and Query Languages – CCL, SQL, Nomad, Oracle, Vertica, Snowflake.
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The ideal candidate will possess deep technical expertise in Python programming, Snowflake data warehousing, AWS cloud services, Kubernetes (EKS), CI/CD methodologies, Apache Airflow, dbt, Kafka for real-time data streaming, and API development.
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Nice to have better understanding on statistical model, ML/AI tools such as AutoML, TensorFlow, and Cloud based tools. Python, SQL or other programming languages. In this role, you should be highly analytical and be able to apply mathematical and statistical methods.
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statistical programming jobs in Snowflake, AZ
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