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The team mainly relies on Snowflake, Microsoft SQL Server, Tableau, the Microsoft Office suite and leverages other tools and technologies on an as needed basis. Experience with querying, manipulating, cleansing, and statistically analyzing large data sets using tools such as Snowflake or SQL Server Management Studio.
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Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc.
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Partner with MGB Digital (IS) teams to leverage existing tools, methods, and processes in order to deliver timely information to operations stakeholders across MGB, including Snowflake and SQL Server.
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Amazon Redshift, Amazon Athena, MongoDB, Apache Hive), interest in server architectures and monitoring, very good knowledge of Python or Java as well as SQL / NoSQL, initial experience with container solutions (e.
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Testing Relational Database experience with technologies such as SQL Server, PostgreSQL, MySQL, Snowflake. There’ll be a mix of applications hosted on and across mainframe and client/server technologies.
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Experience with a variety of mainframe databases (DB2, IMS, VSAM, Adabas, Datacom, IDMS) and familiarity with modern databases/platforms (Postgres, MySQL, Oracle, SQL Server, MariaDB, BigQuery, Snowflake, etc.
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2+ years with databases such as SQL Server, Oracle, MySQL. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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They enjoy the challenges of consulting and thrive to knock the socks off of clients. Experience with data visualization tools such as Power BI and Tableau. Experience with cloud based data services offered by Azure, AWS and Google.
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Microsoft SQL Server, AWS Data Engineer/Specialist, and PMP certifications are a plus. Requires over 10 years of combined hands-on and managerial experience in administration and development using SQL Server.
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Experience with Snowflake, Microsoft Purview or SQL Server Master Data Services is preferred. Serving as subject matter expert on Microsoft SQL Server and Azure Data Platform.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong knowledge in cloud database (Snowflake) and on-prem DBs Oracle and SQL Server management studio. Strong knowledge in Pyspark , Python , PL/SQL and Data Warehousing concepts.
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O SQL Server, Oracle, Snowflake database connections. Understand and perform basic Snowflake DBA functionality including but not limited to. Understand and perform basic DBA functions in Snowflake and MS SQLServer.
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Experience with databases management systems (e.g., Snowflake, SQL Server, PostgreSQL) and data integration techniques (e.g., ETL/ELT, APIs). Experience with databases management systems (e.g., Snowflake, SQL Server, PostgreSQL) and data integration techniques (e.g., ETL/ELT, APIs.
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NET/SQL Server, SSIS/SSRS, MS Dynamics, Power BI), Tableau, and Snowflake. · 3+ years experience with snowflake or other cloud data platforms. Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Expertise in one or more of the following RDBMSes: PostgreSQL, MySQL, Oracle, SQL Server. Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery.
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