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Intermediate to Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
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Piper Companies is looking for a Data Scientist to join an elite educational non-profit in Washington, DC, to cluster large datasets across various container and data platforms. Keywords; Python, Azure, AWS, GCP, SSRS, SSIS, SQL Server, SQL, Scala, Mapping, Scientist, ML, Machine learning.
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Perform day-to-day client, program, and people management for the Data Analytics Team. Advanced knowledge of analytics tools such as Python, SQL, Alteryx, Tableau, PowerBI, etc. Demonstrated skills in researching, analyzing, managing, and reporting KPIs and metrics for a diverse set of audiences, preferably in the energy and sustainability industry (financial energy consumption, water use, waste management, greenhouse gas emissions, etc.
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You will leverage both SQL and Python languages to work with native AWS data mesh technologies such as Glue and Redshift, as well as Snowflake and Airbyte. Working familiarity with data governance techniques and technologies supporting data lineage, metadata management, and data quality.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift o Snowflake.
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Provide business management support for RSD including quad chart reporting and draft responses to R&E business support requests. Maintain and manage ongoing dashboard of taskers for RSD and monitor and timely deliver task responses by collecting data and inputs from responsible RSD branches, R&E components, or relevant organizations.
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The Data Standards specialist will be responsible for overseeing the development, maintenance, and documentation of a knowledge architecture that is intended to integrate reference terminology from distributors (e.g., SNOMED CT , LOINC , RxNorm) in a common data model.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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Experience with health data standards and terminology tools (e.g., SNOMED CT, LOINC, RxNorm, UMLS, VSAC) in Health IT systems. In order to help clients reduce costs, improve health outcomes, and respond to public health crises, our Health Technology practice addresses critical health agency issues including: claims management, electronic health records, health information exchanges, health analytics, and health case management.
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Experience with data storage, data management and data analytics/trend analysis. ACES is seeking a Data Analyst to support the Office of the Secretary of Defense (OSD) Chief Information Officer (DoD CIO)/ Command, Control, Communications, and Infrastructure (C3I) Directorate.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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ETL processes utilizing Linux shell scripting, Perl, Python, and Apache Airflow. Experience with python, Microsoft VBA, and Databricks. Provide system platform management (Kubernetes) to include monitoring, troubleshooting of preproduction and production environments.
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Experience with languages or tools, including SQL, R, Python, or Microsoft Power BI. 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL.
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Configuration management experience with Ansible/Terraform/Chef/Puppet. The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Experience with three or more of the following; JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, and AWS and C2S.
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python r data warehouse aviation management jobs Title: data analyst in Washington, DC
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