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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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The eDiscovery & Data Solutions Analyst is responsible for assisting with litigation automation, implementation of eDiscovery solutions, and providing support and administration of e-discovery and litigation support applications and systems as directed by the eDiscovery & Data Solutions Assistant Managers.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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At least 2 years of experience in Cyber Operations, Data Loss Prevention (DLP), Security Operations Center, or Insider Threat. You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
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Experience in defining enterprise data strategy in one or more of the following areas such as: cloud data migration, data management, data governance, data supply chain, data security, data archival, data quality, master data management and/or data architecture for medium to large scale corporations.
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Skills: Oracle Application Express (APEX), APEX Plugins, HTML, Visual Basic, Java, JSP, Java Script, Java Servlet, PL/SQL, CVS, Eclipse, Apache, WebLogic, IIS, Oracle, SQL Server, OBIEE/Oracle Analytics, Oracle Data Visualization, D3, MS Access, SQL, Agile Software Development, Software Development Life Cycle, SAP Crystal Reports (2016) or greater, Identity Management, WordML, Word, Excel, PowerPoint, OLE automation, LDAP, SFTF, FTP, JSON, XML, XSLT, Toad, ASPOSE For Java.
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Data science tools/languages R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps, and integration capabilities.
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Job DescriptionGeneral SummarySupports the Retail Store Manager with overseeing daily operations of a Southern States Cooperative, Inc. (SSC) local farm supply, member co-op, petroleum or retail facility.
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We're seeking a Marketing Data Analyst proficient in Python, MySQL, BigQuery, and Data Visualization. Create and maintain data dashboards in Looker Studio for easy data visualization, analysis, and automated reporting.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
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ssc data jobs in Washington, DC
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