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Familiarity with AWS cloud platform and the associated big data frameworks (Spark, Redis, Bigquery/Redshift, Airflow, Glue, Snowflake, Databricks). As a Data Engineer, you'll play a pivotal role in designing and maintaining our data infrastructure, ensuring the integrity and accessibility of our data for informed 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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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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Knowledge and/or familiarity of the midstream services industry and data generated in support of business activities related to the gathering, compressing, treating, processing, and selling natural gas, NGLs and NGL products, and crude oil will be strongly preferred.
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Modern Technology Solutions, Inc. (MTSI) is searching for Data Engineer t o support United States Space Force (USSF) by developing software in support of Space Systems Command (SSC) Cyber Operations Branch rapid agile development of defensive cyber solutions to protect, defend, and respond to both ground and space based cyber adversarial threats.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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The Data Engineering team sits at the center of these capabilities, leveraging and integrating with diverse technologies such as Snowflake, dbt , Kafka, PostGREs , SQL Server and more. The Data Engineering Manager is a constant champion for Quantum's values and pillars.
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Develop in data technologies such as T-SQL, Microsoft Azure Data Factory, Databricks. Under the direction of the Information Leader, the Data Quality Analyst - Senior interacts with business stakeholders, gathers information, analyzes business and technical requirements, develops, tests and implements data-oriented solutions, in accordance with firm policies and procedures.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Bachelor’s or graduate degree in Health Informatics, Public Health, Data Science, Epidemiology, Biostatistics, Public Policy, Health Policy, Health Services Research, Health Information Sciences, Computer Science, or a closely related field.
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5+ years of architecture and design experience for Data & Analytics solutions involving tools like Snowflake, Informatica / DBT, Spark/ Kafka, Power BI / Tableau, Python/Databricks. Experience architecting end to end solutions with cloud-based BI tools and data warehouses such as Power BI / Tableau / Snowflake / Redshift is a must.
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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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Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). JOB DESCRIPTION: Business Data Analyst Location: Hybrid - Rosemont, ILOverview: Supports and contributes to business analytics projects and processes to provide data-driven insights related to business performance used to advise and develop strategies for operational improvements and future business initiatives.
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Cyber Security Fundamentals (Familiarity with key concepts of Vulnerability Management, Network Security/Secure Transmission Management, Data Loss Prevention, Identity Access Management, Threat Intelligence, Penetration testing, IT Risk Management.
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The Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.
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data job Title: temporary Company: Ciox Health
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