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As a Data Engineer, you will work with multiple teams to deliver solutions on the zure Cloud using core cloud data warehouse tools ( zure Databricks , SQL Server and other Big Data related technologies.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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QUALIFICATIONS:Advanced MS SQL Server knowledge (MS SQL Server 2016+ preferred)Development expertise with MS SQL Server Integration Services (SSIS), dbt and Apache AirflowProficient with cloud DW and ETL/ELT solutions (e.g., Snowflake, BigQuery, Talend, Matillion, etc.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Technical Qualifications: Programming Experience using Visual Studio VB.Net, C#, ASP.Net, Oracle PL\SQL, JSON, REST APIs and Crystal ReportsSQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) experience a plus.
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Strong skills in writing SQL queries using databases like Redshift, Microsoft SQL Server, or other industry leading RDBMS.Proven ability to serve as a subject matter expert and trusted advisor on future-proofing big data infrastructure and business strategies for cloud environment.
$147,410 - $174,600 a yearFull-timeExpandApply NowActive JobUpdated 4 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. The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform.
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Design, develop, and implement a new Microsoft Structured Query Language (SQL) Server data warehouse, ensuring it meets the project requirements and aligns with the overall data strategy of the Department.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. Exceptional experience developing schemas, testing for quality assurance, administering RDBMS, and monitoring of one or more relational databases including Postgres, MySQL, Oracle, or SQL Server.
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Experience with architecture and technologies such as Snowflake, Fivetran, DBT, Oracle, SQL Server, GitHub, PowerBI and CI/CD framework. Reporting directly to the Director, Business Applications, this position will be responsible for leading data strategy, contributing to enterprise data lake & analytics platforms using Snowflake, Fivetran and DBT technologies and drive standardization, operational excellence across the organization.
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Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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big data sql server jobs Title: hadoop consultant
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