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Their powerful search functions and intuitive, user-friendly interface helps boost efficiency, profitability and customer retention for OEM Parts and Service Departments. Proven experience as an Application Developer with a core focus on the SQL language.
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We develop online parts selling systems, service quoting and inspection solutions, data analysis, predictive marketing and eCommerce solutions to help our OEM and Dealer customers grow sales and elevate customer experience.
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Advanced proficiency in SQL and experience with cloud data platforms like Snowflake, demonstrating a strong understanding of data warehousing concepts and practices. Advanced proficiency in analytical tools and programming languages such as SQL, Python, or R for data analysis and visualization.
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We're in search of someone with extensive experience in managing SQL Server databases, adept at crafting complex SQL queries and designing robust database structures. With your deep understanding of SSIS package development and proficiency in C# and Snowflake databases, you will lead the maintenance and implementation of critical data extraction, transformation, and loading processes.
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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora.
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Proficient running queries against data (preferably with Google BigQuery or SQL) Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Mastery running queries against data (preferably with Google BigQuery or SQL) Demonstrated proficiency in predictive modeling, data mining and data analysis. Expertise in predictive modeling, data mining and data analysis.
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5-year minimum experience working with relational database systems such as SQL Server (Experience with SSIS) Experience with data warehouse architecture development and management. CNA Search is Seeking a talented Senior Remote C# Software Developer with strong.
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Fluency with Excel (including pivot tables and vlookups) and/or other data analysis tools such as SQL or Tableau. Connecting the dots across channels through data (including display media, site, search, email, and social) to provide a holistic view of marketing efforts.
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As a Staff Data Scientist, you’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog, Discovery (Search & Recommendations) products.
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Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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5+ years of experience with SAS/SQL and other statistical software platforms. Knowledge of marketing principles including direct mail, paid search, display advertising, paid social, word of mouth etc.
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Job Title GCP Looker Sr developer Key words to search in resume GCP Looker Sr developer Technical/Functional Skills -MUST HAVE SKILLS Job Description: Senior application developer to support application development of Time & Pay Data Analytics in Google Cloud Platform.
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Experience in one of the programming languages (e.g., Go, Python, SQL, R, Julia, C/C. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right.
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Expertise running queries against data (preferably with Google BigQuery or SQL) Demonstrated mastery in predictive modeling, data mining and data analysis. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team.
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