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Texas Commission on Environmental Quality (TCEQ) is seeking an experienced HR Data Analyst and Visualization Designer to join our Human Resources team. Coordinate with the Work Leader, management, and Information Resources Division to deploy methods to improve data quality.
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Work from Home, Data Entry, Part Time, Gigs for all, Administrative Assistant, Customer Service, Entry Level, Amazon Workers, Retail Workers, HealthCare and Hospital Personnel. Data Entry Work From Home - Remote Work at Home Customer Service.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Experience with AWS, Spark, Databricks, Data pipelines frameworks, streaming tools (Kafka), API design. Components of the platform include tracking production change events to aid in quick incident response, programmatically measuring Procore’s operational, disaster recovery, and incident preparedness, as well as creating compelling data visualizations that teams and leadership can use to mature their systems.
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Monitor, analyze, and communicate all performance improvement and quality data; research best practice across ambulatory services and other organizations to continually improve the patient/family experience; proactively address performance and or quality issues including thorough review with Site Triad Leadership for resolution and or improvement.
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We now need a Data Warehouse Analyst to help in our growth journey! Data Warehouse Analyst. Experiences with the design, development, and operations management for on-premise, cloud, SaaS-based data warehousing and analytics solutions such as Microsoft Azure (must have), AWS, SAP, and Snowflakes.
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In this role, you will be working on ideating and developing privacy preserving AI algorithms and data processing pipelines for Apple Care CRM. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.
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Demonstrated success with domestic and international consulting, permitting, licensing, and environmental quality review processes for a wide range of infrastructure projects in sectors such as power generation, process industries, water/wastewater treatment, telecommunications, data centers, and industrial manufacturing.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib. Job Title: AWS Data Bricks Spark/Scala Engineer. Must have work experience on Hadoop as data warehouse/Data Lake implementations.
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Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience.
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You will work in a team to improve overall data quality and set up next-generation data orchestration using modern cloud tools. Write Test-driven Development-based code to meet overall data quality standards as defined by the users.
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Experience with some of the following technologies and concepts is not required but would be a plus: Microsoft Operating systems, PostgreSQL (AWS Aurora), MongoDB (Atlas), Linux Operating systems, Active Directory, SSIS, OLTP data environments, Data Archiving, Snowflake, Wait Statistics, Solarwinds DPA/DPM, Policy Based Management, PowerShell, MySQL, DB2, Agile Methodologies, Amazon cloud database technologies, VMWare, Cloud Automation.
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Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others. Cloud Data Warehouse experience - Redshift/Snowflake. This is an ideal position if you are an experienced data engineer and you want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.
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Data Science Analyst (Lead) with skills Data Science, Python, Data Modeling for location Bangalore, India. Expert knowledge of statistics and probability theory Proficiency in at least one programming language such as Python, R, or SQL Advanced experience with data visualization tools such as Tableau or PowerBI Expert understanding of machine learning algorithms and models Advanced knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Strong communication and presentation skills.
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data quality jobs Title: data quality analyst in Austin, TX
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