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Exposure to Scrum frameworkKnowledge of message queuing technologies such as Kafka, Azure Service Bus, and stream data integration technologies or stream analytics technologies such as Apache Kafka KSQL, Spark Streaming and othersSkill in creating ETL solutions using SQL Server Integration Services (SSIS) or other equivalent technologiesSkill in developing data warehouses and data marts.
Full-timeExpandUpdated 15 days ago - UpvoteDownvoteShare Job
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Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security) Snowflake, Azure DevOps to build the test mechanisms and participate in CI/CD change release strategy.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Experience with complex SQL Server PL/SQL, Stored Procedures, ETL framework and concepts, Datawarehousing concepts, Cloud concepts, Microsoft SSIS, SSRS, IBM Datastage, database programming, Azure Data factory, Azure Devops, Azure SQL, SQL performance tuning, data modeling, ETL job scheduling, execution of datawarehousing projects.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - 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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Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence. 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.
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Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka and Azure Stream Analytics is a bonus. Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications.
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Direct experience in building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks). Experience building data warehouse solutions using ETL / ELT tools such as SQL Server Integration Services (SSIS), Oracle Data Integrator (ODI), Talend, and Wherescape Red.
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Proficiency in Spark, Python and ability work with telemetry using Azure monitor, App insights. Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods.
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Design and develop modern real-time solutions with Scala, PySpark, and Azure Databricks. 3 + years of experience with Azure Databricks, Stream Analytics, Eventhub, Kafka. 3+ years of experience with MS BI stack (SSIS/SSRS/SSAS, Power BI.
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Mandatory – SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica Python/Scala/PySpark Reverse engineering of Legacy platforms Mapping of Legacy models to Cloud Cloud migration experience from Legacy Skills Required: + years of experience required Strong experience in SQL / SSIS /SSRS Orchestration experience with any scheduler (airflow, Control M, Autosys etc.
$62 - $67ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with one or more ETL platforms: ADF, NiFi, Alteryx, SSIS. Experience with Jira, Git, Azure DevOps, CI/CD. Design, develop and support ETL pipelines in Azure ADF, Spark, and Apache NiFi.
Full-timeExpandUpdated 15 days ago
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