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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). Familiarity with data visualization tools (e.g., Tableau, Power BI). Implement data quality checks and validation processes to ensure accuracy and reliability of data.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Data Factory, Azure Databricks and other Azure big data technologies.
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Experience with big data tools: Apache Spark, Kafka, etc. The data platform will support data ingestion from various on-premise and cloud-based data sources and data processing by leveraging various big data tools.
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Excellent programming skills in languages such as Python, SQL, or others commonly used in data engineering. Experience with big data technologies such as Apache Spark. Utilize Microsoft Azure services and tools to build and manage data solutions, including but not limited to Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
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The lab manager will oversee day-to-day research being conducted, including general research project management, data collection in lab, field, and online environments, programming surveys (e.g., via Qualtrics), managing participant recruitment, creating/modifying IRB proposals, processing data, revising/editing manuscripts, assisting with powerpoint presentations, managing PI’s websites, training and supervising undergraduate research assistants, and scheduling studies and research meetings.
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Proficiency in computer-aided design (CAD) software for electrical system design, simulation tools for modeling and analysis, and programming languages commonly used in microgrid control systems.
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Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Administrative knowledge of M365, Zscaler, CrowdStrike, and SIEM technologies is a big plus. Ensure compliance with data privacy regulations by enforcing data protection measures.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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8+ years of professional IT experience including Java EE, Angular/Node JS, SOA, API – REST/JSON, SOAP, Spring Framework, Design Patterns, Middleware (Weblogic, Apache/Tomcat, MQ) & various DB technologies such as Oracle, MySQL, MSQL, Maria, Big Data, Hadoop, MongoDB, OS - Linux, AIX, Cloud platform & technologies.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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JOB DESCRIPTION: Business Data Analyst Location: Hybrid - Rosemont, ILOverview: Supports and contributes to business analytics projects and processes to provide data-driven insights related to business performance used to advise and develop strategies for operational improvements and future business initiatives.
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Preferred Qualifications If we had our say, we’d also look for: 6 + years of experience in a People Analytics/Data Science role Master’s degree in industrial/organizational psychology , Data Analytics, or Statistics 3 + years of experience as People Analytics Insights partner, consulting background is a plus.
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programming big data jobs Company: Brainstation in Northbrook, IL
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