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Must have four (4) years of experience with: Cloud data engineering experience in at least one cloud (Azure, AWS, GCP); Integration of multi-cloud services with on-premises technologies; Version control systems like Github and deployment of CI tools; At least one MPP database technology such as Redshift or Synapse or SnowFlake.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You BringStrong data analysis expertise with the proven ability to independently answer complex questions involving combining large data sets using a variety of SQL tools and database technologies (examples: Databricks, RedShift, Athena, BigQuery.
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Experience with Business intelligence visualization process Power BI or equivalent to create impactful reports and interactive dashboards. Create ad-hoc customized reports for a variety of needs/functions through platforms such as Power BI dashboard.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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C# development experienceStrong SQL development experience (MS SQL Server)Expert level development experience with data tools (SSIS, ADF, etc)Expert level development experience with Reporting (SSRS, Power BI, etc)ASP.Net development experienceExperience with Agile project delivery (create user stories)Proven ability to deliver BI solutions.
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7+ years of commercial structured cabling, low voltage, or data cable installation experience. · Tools: Basic Hand Tools: screwdriver (multi-Bit), torpedo level, tape measure, snips, pliers (needle nose and channel locks), cable stripper, punch tool /66, modular plug crimper, flashlight, work b.
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Experience in Agile project management and with Agile tools/technology (i.e., Atlassian Jira, Atlassian Confluence). Experience with Data Privacy, Business Continuity, Technology Education.
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Proficiency in data visualization tools such as Tableau, Power BI, or similar software. Utilize data analysis and visualization tools to conduct in-depth analyses and reporting on operational performance, financial metrics, customer feedback, and other KPIs.
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Possess hands-on experience with data center design and deployment best practices - including a strong understanding of power distribution and/or structured cable design in the data center.
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Experience with quant research processes, methodologies, and tools a plus 50% data + 30% quant analysis + 10% python + 10% AWS combination. Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
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An understanding of the role of Operations; troubleshooting practices and the use of proactive and reactive tools is important to the Data Network Implementation Engineer’s role. The technology areas of focus for the role includes Data Center and end user networks, public and private Network Transport and Optical systems and emerging technologies (Switched-Ethernet, LTE, etc.
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Create and optimize SQL queries for data extraction and analysis, leveraging tools like dbt to build and document data transformations. Design and implement robust data pipelines for efficient data extraction, loading, and transformation (ELT) processes, utilizing modern data pipeline tools (including Airbyte, CData, and others.
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Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures - Kubernetes, Docker.
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power tools bi data scientist jobs Company: Amentum in Addison, TX
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