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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) Familiarity with business intelligence visualization tools such as Looker, Tableau, Power BI, etc.
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The IT Risk Senior Analyst will be responsible for collecting, tracking, analysis, reporting and maintenance of key risk data. Mining data from primary and secondary data sources using SQL, Snowflake, AWS.
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Senior Data Quality Analyst. Sr. Data Quality Analyst. Knowledge in languages like Python, R, SQL, etc., for custom data quality checks or integrations. Experience with cloud-based data quality solutions or platforms such as AWS, Azure, Google Cloud, etc.
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Utilizing analytics techniques (e.g. regression, correlation, cluster analysis, data quality, classification, data mining, machine learning, data visualization) to discover, confirm, & document associations, predictive models, & algorithms.
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Data Visualization Tools: Tableau, Power BI, ggplot2 (in R) Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar.
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Data exploration and data visualization tools such as Looker, Tableau. Data Warehouse Architect. Responsible for articulating and driving aspects of our ecosystems real-time stream messaging data strategy.
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You are good with data visualization, and data storytelling. The Data & Engineering team provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms.
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Strong proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Data Lake Storage. Design, develop, and maintain data pipelines and ETL processes on Azure using services such as Azure Data Factory, Azure Databricks, and Azure SQL Data Warehouse.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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The Internal Security/Data Protection Analyst will support Internal Security daily operations providing front line operational and analytical support. 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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Minimum of 4 years of professional experience in a corporate environment working with Data and Analytics; to include each of the following: Performing as a reporting specialist, data analyst, or data scientist.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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An experienced and knowledgeable Senior Data Quality Analyst to join our team and provide expert support for the implementation and development of the. Experience with master data management tools and processes.
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Familiarity with the areas and concepts in Master Data Management, Data Warehousing, Analytics, ERP, and CRM. Express has an exciting opportunity for a curious, motivated, forward thinking, analytical software senior data engineer to join and shape the future of the Enterprise Data team for the Enterprise Data department.
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data visualization jobs Title: data analyst in Columbus, OH
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