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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL. Familiarity with Cloud technologies (AWS, Azure, GCP, Snowflake.
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Maintain and exercise a highly accomplished level of capability in the firm's technologies and methodologies including C#, MS SQL Server, ASP.NET Core, Blazor, ReactJS, JavaScipt, Git, Azure DevOps, Azure Service Bus, Azure Functions, Azure Storage, CI/CD Pipelines, and other application tools/languages.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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Experience with Microsoft Azure Platform - Emphasis on Power Platform (specifically Power BI), Azure Data Services (SQL Server, Data Lake, DataVerse, etc. 5 + years of Business Intelligence application delivery required – Experience in Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, SQL Server) a plus.
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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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Expertise in one or more of the following RDBMSes: PostgreSQL, MySQL, Oracle, SQL Server. Cloud computing experience with expertise in one or more of the following: AWS, GCP, or Azure.
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C#, Python, HTML, CSS, JavaScript, ASP.NET, SQL Server, T-SQL DDL/DML, SSIS, Windows Server, Linux, project management, networking, administration, TCP/IP, DHCP, DNS, routing, and cloud-based technologies (AWS, Azure.
Part-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in databases (Oracle, SQL Server, PostgreSQL, etc.) , data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.
$140,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in Microsoft SQL Server, Mongo DB, Postgres SQL, SSIS, SSRS, Tableau, AWS, and Azure. Proficiency in Microsoft SQL Server, Mongo DB, Postgres SQL, SSIS, SSRS, Tableau, AWS, and Azure.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong experience in databases (Oracle, SQL Server, PostgreSQL, etc.) , SQL and API technologies. With 99.9% uptime and self-healing pipelines, Fivetran enables thousands of leading brands across the globe, including Autodesk, Condé Nast, JetBlue, Lufthansa, Morgan Stanley and Pitney Bowes, to accelerate data-driven decisions and drive business growth.
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Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
$75,000 - $160,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This position is designed to support teaching of business analytics courses which may include one or more of the following topics: business statistics, predictive analytics, programming (Python), database (MS Access, SQL Server (SSMS), Visual Studio, project management, advanced data management (AWS, Azure, Hadoop), optimization, and decision processes.
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