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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Must Have skills: MDM, Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Data Modeling, Snowflake, Databricks.
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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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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer. Python, Sql, databricks, etl, spark, hadoop. Experience with Azure Data Factory, Azure Databricks and Snowflake highly preferred (similar cloud technology experience also considered.
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Experience in Data Management / Event Streaming: Cassandra, DB2, SQL Server, Event Streaming, Kafka, NOSQL, MongoDB, Oracle, Postgres, MSK. Experience in Data Management / Event Streaming: Cassandra, DB2, SQL Server, Event Streaming, Kafka, NOSQL, MongoDB, Oracle, Postgres, MSK.
$108,375 - $140,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse. Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB.
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Senior Data Engineer - REMOTE Contract/Hourly W2 only. This role is currently fully remote, but needs to be local to Dallas for potential changes [002] We are looking for a Senior Data Engineer to join our Data Engineering team.
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Experienced in managing and optimizing data storage using Azure Data & Analytics Services, Data Factory, Data Lake, DataBricks, Cosmos DB, Synapse Analytics, PowerBI, and MS SQL Server.
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Expertise in Microsoft technologies including Azure Data Factory, SQL Server, Azure Databricks and Power BI. Design, develop and maintain robust data pipelines using Microsoft technologies (e.g., Azure Data Factory, SQL Server, Azure Databricks.
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NET, SharePoint, C#, ASP.NET, React, TypeScript, T-SQL, Web API, Azure, SQL Server, and other related tools. - Familiarity with Databases SQL Server , Azure SQL and Azure Synapse, Oracle, RDS.- Hands on experience of working in n-tier and layered application architecture.
$96,000 - $200,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Processing: SQL, Apache Spark, dbt. - Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer). We are looking for a proficient Software/Data Engineer specializing in Directed Acyclic Graphs (DAGs) and dependency graph orchestration.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Experience designing, developing, testing, and maintaining various BI and Data Analytics data processing functions such as: ETL/ELT, pipelines, data cleansing, data migration, data integration and transformations, data loading to warehouses/data lakes/data marts using: T-SQL, Python, MDX, DAX, Azure Data Factory, Azure Synapse Pipelines, SSIS, dedicated SQL pools, SQL Server, and equivalent tools.
$6,139 - $9,932 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience with DBT and Snowflake for data warehousing, including complex SQL/ETL/ELT workflows. Experience as a software engineer building Java or Kotlin server-side applications.
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sql server data engineer remote jobs Title: data engineer Company: Dice in Pelham, New Hampshire
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