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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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Extensive hands-on experience with Microsoft Azure data services, including Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, etc. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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Should have hands on expertise in SQL (ability to write complex Sql's, Joins etc) and good data analysis skills and ability to work on multiple databases like Oracle, Sybase, Hadoop, Sql Server.
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Performing data analysis, mapping, acquisition (using SQL queries), impact analysis, data transformation and distribution (using SQL Server Integration Services - SSIS), and dashboard creation and KPI reporting (using Tableau and Power BI/Excel.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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Strong proficiency with cloud services (e.g.: OpenShift, Azure, AWS), modern JS frameworks (e.g.: React, Angular, NodeJS), SQL and NoSQL DBMS (e.g.: SQL Server, Postgresql, Mysql, Redis, MongoDB), Object-oriented development (e.g.: Java, Node.js, Go, Rust or.
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IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse. Exceptional experience writing complex sql queries for Sql Server and Oracle.
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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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Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle. Build robust systems with an eye on automation and the long-term maintenance and support of the application.
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Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra) Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.
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Onsite Client support for ESRI ArcPro skills, Data Driven Pages/Map creation and publication, GIS Analysis, Spatial Data Analytics, Metadata, Data Editing, QA Hands-on software development solutions for ESRI Web Apps, ESRI.
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Strong proficiency in SQL and experience with relational databases (e.g., MySQL, Oracle, SQL Server). Write complex SQL queries for data extraction, transformation, and loading (ETL) processes.
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7+ years’ experience in building scalable enterprise data integration solutions; preferred on the Microsoft SQL Server, Azure Data Warehouse/Database platforms. Proficiency with data integration tools such as SISS and Azure Data Factory, in-depth hands-on experience with SQL, TSQL, and data formats such as XML and JSON.
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Hands-on expertise of multiple modern storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, Databricks, MongoDB, CockroachDB, DataStax, Oracle, Sybase, DB2, or Redis.
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Familiarity with Databases SQL Server , Azure SQL and Azure Synapse, Oracle, RDS.- Hands on experience of working in n-tier and layered application architecture. - Hands on experience of building data visualization dashboards in PowerBi/QLIK.- 2+yrs.
$96,000 - $200,000Full-timeRemoteExpandApply NowActive JobUpdated Today
hands on sql server jobs Title: data architect Company: Laksan Technologies in Phenix-city, Alabama
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