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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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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 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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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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Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). Implement data quality checks and validation processes to ensure accuracy and reliability of data.
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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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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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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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Alternately, will accept Bachelor’s degree in Management Information Systems, Computer Science & Engineering, or a related field and 3 years of experience in the job offered or as a Data Strategy Analyst, Statistical Programmer, Decision Support Analyst, or a related occupation.
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The Role of a Catering Sales Manager is to Dream Big and to Chase that Dream! The Catering Sales Manager is responsible for both inbound and outbound sales, as well as meeting/exceeding catering sales goals.
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Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL. Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. 1+ years of SAP master data experience.
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big data jobs Company: Indeed in Northbrook, IL
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