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Demonstrated experience in large cloud computing and data warehousing environments with database platforms (Oracle, SQL Server, DB2, etc.) Familiarity with data preparation techniques and tools such as Alteryx and Tableau Prep.
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3+ years leveraging and maintaining ETL tooling – such as Glue, Alteryx or any other related ETL (extract, transform, load) tools – and/or. 2-3+ years experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata.
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Proficiency in business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, Tableau Server, Alteryx, or SAS Enterprise Guide/Miner. Direct experience with SQL programming and large database applications (e.g., Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop.
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Direct experience with data modeling and ETL workflow management tools such as: Alteryx, Supermetrics, Talend, Tableau Prep Conductor and FiveTran, Matillion, Snowflake. Have in depth experience in managing Cloud Database Management Platforms such as: Snowflake, AWS(Redshift, Athena) and Google Cloud Platform.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion.
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Experience working on any one Database such as Snowflake, BigQuery, SQLServer, Oracle, Aurora, PostgreSQL is a must. Experience working with any one ETL or ELT tool such as Fivetran, Talend, Alteryx, Matillion, Informatica is a must.
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Experience working with Alteryx and Google Cloud Platform is a plus. Hands-on experience working on programming languages or database management systems (SQL, Python, R, etc.) Experience working with Alteryx and Google Cloud Platform is a plus.
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Expert knowledge of BI Reporting, Data Discovery tools, Alteryx etc. This role will have expertise in data movement and database technologies support data analytics and Machine Learning (ML) / Artificial Intelligence (AI) capabilities.
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Define and execute database and data movement standards, design reviews, pipeline CI/CD process, and data container policies to ensure high quality data management. Demonstrated expertise of database design and modeling.
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8+ years of experience in related field, including experience with specific tools in scope such as data platforms including SAP HANA, GCP Big Query, Manhattan, and SQL Server preferred. Sr Data Engineer, Pharma Commercial Digital Partner Data Science Team.
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Pharma Commercial Digital Partner build & run automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies, and revenue growth opportunities.
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Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management.
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This person will work collaboratively with Shared Services/Cloud teams, offshore developers, and business users to solve business problems and deliver solutions. The primary role of the Senior Data Engineer is to support and expand the Data & Analytics platforms that process, store, organize the data critical for the data and analytics team.
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