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Expertise in one or more of the following RDBMSes: PostgreSQL, MySQL, Oracle, SQL Server. Linux and SQL expertise. Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery.
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Develop and maintain full-stack web applications using Java, Spring Boot, Angular, PL/SQL, TypeScript, and other relevant technologies and frameworks. Strong proficiency in Java, Spring Boot, Angular, and PL/SQL.
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Support existing BI environments Tableau, Cognos, data movement (DataStage, Informatica, sqoop), and backend data repositories (Oracle, SQL Server, Hadoop). Engineer BI dashboards for Technology Projects and related Finance information (Burn Rates, Accruals, Milestones, Expenses, budgets, Earned Value, ROI) as well as project KPIs. Identify BI performance bottlenecks and design optimal solutions at the report / dashboard level (Tableau, Cognos, PowerBI), SQL data munging level (SQL joins, pivots, enrichment, aggregations Oracle, Hadoop, SQL), or ETL / Data movement level (DataStage, Informatica, Sqoop.
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Proficiency in database tools: SQL Server, MS Access, Oracle, etc. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow.
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CISA, CISM, CISSP, risk assessment, internal controls, IDEA, ACL, Tableau, SQL, Oracle, Python, IT Audits, Data Analytics, Audit Techniques, Audit testing Automation. -Working knowledge of data extraction, access and analysis tools such as IDEA, ACL, Tableau, SQL, Oracle or Python.
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Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
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Perform work with Oracle Integrated Development Environments such as Quest Toad and Oracle SQL Developer. Experience with the use of Oracle Integrated Development Environments such as Quest Toad and Oracle SQL Developer.
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SQL Server Reporting Services), Oracle Business Intelligence (OBIEE/OAS) or similar ROLAP/OLAP tools, and include proficiency with data transformation engines (ex. Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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SQL, SOAP, WSDL, WADL, PERL, PowerShell, VBS, Eclipse, Postgres, Oracle, Jenkins. SQL, SOAP, WSDL, Postgres, Oracle, Mongo, PowerShell a plus. Experience with the following: JEE (EJB, JPA, JTA, JAX-B, JAX-RS, JAX-WS), SQL, application servers (Tomcat, WebLogic, JBoss), scripting.
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Cross-Channel Marketing Platforms: Adobe Marketo, Braze, Iterable, MessageGears, Oracle Eloqua, Pardot and Salesforce Marketing Cloud. Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.
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Knowledge of SQL and relational databases (Examples: Oracle, MySQL, Amazon Aurora) and/or data warehouses (Examples: Redshift, Athena, Snowflake). Knowledge of SQL and relational databases (Examples: Oracle, MySQL, Amazon Aurora) and/or data warehouses (Examples: Redshift, Athena, Snowflake.
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Experience with Geographic Information Systems (GIS) and database software such as ArcGIS, AutoCAD, MS-Access, SQL Server, or Oracle for spatial analysis and data visualization. Work with ArcGIS, AutoCAD, or relational database management software (such as MS-Access, SQL Server, or Oracle) to integrate spatial data into modeling workflows.
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Knowledge of Snowflake Data Warehousing environments, Oracle DB, MySQL, Postgres SQL. Experience writing complex SQL and takes initiative in SQL script tuning/performance optimization, including debugging and error checking.
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oracle sql jobs in Denver, CO
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