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Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Snowflake Management: Manage Snowflake data warehouse environments, including provisioning, configuration, optimization, and monitoring. Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage.
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This position will serve as Project Director and lead analyst overseeing and coordinating the data elements needed to fulfil the requirements of a newly awarded Federal State Maternal Health Innovation Program Grant.
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The position will work across the Pharmaceutical's Global Supply (PGS) organization in conjunction with the Bioprocess R&D organization to develop multivariate data analyses, machine learning models, mechanistic models, and simulations for the characterization of bioprocesses and operations at multiple scales.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Coordinate data analyses and research efforts using CIR data with other units within BOI, DOHMH, and CDC. Works closely with DOHMH research scientists and technical staff to plan, develop, implement, and evaluate protocols and research related to CIR data quality assurance.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) located at the Redstone Arsenal in Huntsville, AL. In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data.
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The Prime Data Centers (PDC) Sr. Mechanical Engineer reports to the VP of Engineering and is responsible for mechanical engineering efforts related to a portfolio of data center projects which can include new construction, phased expansion, retrofits and upgrades, acquisition conversions, MEFP (Mechanical, Electrical, Fire protection, Plumbing) equipment standards, development of design standards, processes, and procedures.
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Tracking progress and notifying management of issues that require escalation and assuming responsibility for resolving or coordinating the resolution of resource capacity issues and project data quality concerns.
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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS.
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data job Title: management trainee Company: Parexel
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