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Design and manage relational databases using SQL, ensuring data integrity, security, and optimal performance. NET, Angular, Python, SQL, and Azure DevOps. The ideal candidate will have over 6 years of hands-on experience in full-stack development, with a proven track record of building and maintaining scalable, high-performance web applications.
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Advanced knowledge of data and analytics solution delivery using common tools such as Alteryx, ACL, IDEA, SQL, Python, SAS, Tableau, QlikView, and PowerBI.Hands-on knowledge of building RPA solutions in tools such as UiPath, Blue Prism, Automation Anywhere, or related tools.
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Demonstrate proficiency in at least one analytical tool (R, SAS, SQL, or Python), with additional experience in AI and ML techniques, including neural networks, deep learning, and natural language processing, considered a plus.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL) Data integration Tools (Informatica, Talend, etc.
$186,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with large datasets and databases (SQL, NoSQL), with a knack for extracting meaningful insights from complex data sets. Principal Data Scientist: Growth Marketing At SimplePractice, we’re changing the face of health and wellness through innovative solutions that simplify the life of health and wellness practitioners.
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Experience in engineering data warehouses/data lakes (Snowflake, BigQuery, Redshift). Participated in establishing data management capabilities such as metadata management, lineage, data governance, data discovery, data protection, and data quality.
$315,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with using data to drive insights and improvements, including tools such as SQL, Tableau, Looker, etc. Experience with tools like Google Analytics, Excel, SQL, Tableau, Looker, etc.
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Successful candidates will have experience in technical product management developing and implementing tools for consent management, metadata and master data management, privacy services, OneTrust CMP, as well as data quality in support of high visibility/high-volume consumer applications.
$253,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This is a direct-hire, on-site opportunity based in Los Angeles, CA.Overview:We are in search of a highly skilled and experienced attorney to fill the role of In-House Counsel - Pay Equity Compliance and Strategy.
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Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, REDIS, Kubernetes, Kinesis, REST APIsSQL, Python, Scala, other computer software languagesPreferred Qualifications Minimum two years of experience in the technology industry, knowledge of data and product a plus.
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Hands on SQL/Presto/BigQuery/Redshift experience. Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Understanding of data management and data governance practices, including data stewards, data custodians, data lineage, data quality, data cleansing, metadata management, etc.
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Extensive experience with data migration from MS Access database to SQL database using Microsoft SSMA (SQL Server Migration Assistant). QualificationsOverall 8+ years of experience with a minimum of 2 years prior experience as a data architect or in a data management role.
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Required)Proficiency in data processing frameworks like Apache Spark and Databricks, and workflow management tools like Apache Airflow. (Required)Expertise optimizing data pipelines and workflows for efficiency and cost-effectiveness, leveraging cloud-based technologies such as AWS, Azure, or Google Cloud Platform, and orchestration tools such as Apache Airflow.
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