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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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Assisting in the integration and development of the Bentley iTwin and Unreal Engine workflows to streamline project data accessibility to the project teams. Familiarity with CAD software and data interoperability between Bentley iTwin and Unreal Engine.
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Job Posting Title: Data Analyst Position Type: Professional / Unclassified Department: LSUAM Online - SET - AD - IT - Analysts (Jared Giles (00063950. Job Posting Title: Data Analyst. LSU researchers across Louisiana are working on developing a wide-range of innovations to improve quality of life by studying issues such as disease management, advance medical treatments, obesity, coastal protection, hurricane preparedness, energy, natural resource management and agriculture, among others.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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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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The candidate should be highly motivated with experience in database design and data management as well as clinical and public health research. The primary responsibilities of this individual will be to design, implement and manage relational databases, support data curation across research and programmatic data systems, lead data quality monitoring and control activities, create analytic datasets, and collaborate with data analysts, investigators, and collaborators on data analysis and interpretation for publication and dissemination of research findings.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Must have strong experience in AWS cloud services, particularly data related services such as Glue (Spark, Data Catalog, Data Quality), EMR, Athena, Kinesis, S3, Aurora, RDS, Redshift, DynamoDB.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance. Experience using data and analytics to define and implement process improvements, focused on product development and/or data-driven decision making.
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The South/NW Regional EHS Manager is responsible for implementing Aligned corporate safety policies, programs, and requirements for Aligned construction projects and established data center operations.
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data job Title: mail clerk Company: Progressive Logistics
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