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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
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Skills: Oracle Application Express (APEX), APEX Plugins, HTML, Visual Basic, Java, JSP, Java Script, Java Servlet, PL/SQL, CVS, Eclipse, Apache, WebLogic, IIS, Oracle, SQL Server, OBIEE/Oracle Analytics, Oracle Data Visualization, D3, MS Access, SQL, Agile Software Development, Software Development Life Cycle, SAP Crystal Reports (2016) or greater, Identity Management, WordML, Word, Excel, PowerPoint, OLE automation, LDAP, SFTF, FTP, JSON, XML, XSLT, Toad, ASPOSE For Java.
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Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority. Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Good Knowledge of OLTP and OLAP Modelling, ERWIN, Snowflake, SQL Database Modeler or ER/Studio, ModelMart.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Proficiency in ETL processes and hands-on experience with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Hands on experience in query optimization, performance and tuning (PL/SQL) using SQL Trace, Explain Plan, Indexing, Hints, Bulk Binds and Bulk Collect. In-depth knowledge of PL/SQL, SQL, Java, JavaScript, Web Services, AJAX, XML, XSLT, JSON, HTML, and CSS and other programming languages.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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This person will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and others. Advanced-Data Architecture : Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
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Over 8+ years of professional experience in roles such as Data Engineer or Developer, showcasing a strong technical command over Snowflake, dbt, Airflow, SQL, and other pertinent technologies. Conceptualize and construct resilient, high-performance data solutions utilizing Snowflake, dbt, Airflow, and SQL Server to fulfill organizational objectives.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Demonstrated expertise in programming languages (postgis, SQL, Python, R, Arcade, JavaScript) for geospatial analysis and automation. Describe your expertise in programming languages (postgis, SQL, Python R, Arcade, JavaScript) for geospatial analysis and automation.
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Health care business operations, hospital/physician information systems, and database/data warehouse management specific to the following applications or tools is preferred: Allscripts, Epic, Cerner Millennium, Syntellis Performance Analytics, Business Objects, PeopleSoft G/L, Tableau, MS Access, SQL Server, and Visual Studio.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
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Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB). Proficiency in SQL and experience with database administration tools.
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Responsibilities: Query and extract data from ERP databases such as Microsoft Dynamics NAV / Dynamics 365 Business Central and Infor SyteLine and other data sources such as SQL Servers (various), Access, and Excel.
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