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SQL Server, Azure SQL, Azure Synapse, Databricks, or Snowflake. SQL Server, Azure SQL, Azure Synapse, Databricks or Snowflake. Designing and developing Azure-based data solutions using Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
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Required Skills Technical Skills- ,MS SQL Server,Snowflake,PySpark,Databricks,AWS,ETL Tool - Talend Domain Skills- ,Property & Casualty Insurance. Seeking a highly skilled Technical Lead with 10-14 years of experience in Databricks, PySpark, Snowflake, AWS, MS SQL Server, and Talend.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Management concepts and standards (SQL Server, Oracle, Cloud, Snowflake, Azure, etc.) Technology : Azure ADF/ ADB, Snowflake + Any BI Tools ( Tableau / Qlik) + AI/Client , GenAI.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Thorough knowledge of Snowflake, DBT, Azure Microsoft SQL Server, SSIS, and related ETL tools. Mastery of SQL, especially within cloud-based data warehouses like Snowflake.
Full-timeExpandApply NowActive JobUpdated 9 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.
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Database: SQL Server, Azure SQL Database, ADLS, Snowflake. Business Intelligence/Analytics tools: Alteryx, Python Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, Power BI.
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5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. Ability to create, troubleshoot, enhance complex code in Snowflake and SQL server.
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Expert level SQL knowledge on databases such as but not limited to Snowflake, Netezza, Oracle, Sql Server, MySQL, Teradata. Build and automate the data ingestion, transformation and aggregation pipelines using Azure Data Factory, Databricks / Spark, Snowflake, Kafka as well as Enterprise Scheduler tools such as CA Workload automation or Control M.
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Experience with BigQuery, Snowflake, Microsoft SQL Server. Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server.
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Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake) Hands-on experience with one of these - BigQuery, Snowflake or Amazon Redshift. and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc.
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Experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server. Construct and maintain of enterprise level integrations using the Snowflake platform, Azure Synapse, Azure SQL and SQL Server.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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Ideal candidate has very strong knowledge of the Microsoft SQL Server engine with a focus on the ability to troubleshoot, optimize and support existing pipelines (SSIS) and processes, and a desire to learn (or already possess and grow) popular cloud technologies like Snowflake, BigQuery, Matillion, and more.
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Experience with database technologies and concepts in heterogeneous environment such as DynamoDB, MongoDB, Postgres, MariaDB, DB2, Snowflake, or Microsoft SQL. Experience with server-side/mid-tier languages, frameworks, libraries, and related technologies: Python, Flask, Java EE, Apache Tomcat, Spring MVC/Spring Boot, Logback, SL4J.
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