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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions. NET; C#; HTML; REST APIs; CSS; JavaScript; jQuery; Angular; SharePoint; Python; Shell Scripts; SQL Server; Oracle; NoSQL DBs; Cloud Technologies such as Azure and AWS; Git; Lucid Chart; Postman; Jenkins; Azure DevOps; Kubernetes; and Docker.
$139,464 - $223,200 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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NET, PowerShell Scripting, Python, JavaScript, CI/CD, Data Visualization, SSIS, SSRS, and Git/Azure DevOps. 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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Solid experience with cloud data warehouse platforms such as Snowflake, Redshift, BigQuery, Synapse, Databricks, etc. Fluent in SQL, Python, and at least one analytic tool such as OBIEE, Power BI, or Tableau is required.
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Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering. 6+ Years of experience in Data Engineering, Analytics and Machine Learning Systems.
$92,700 - $185,400 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
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What cloud based data warehouse, reporting, and analytics solutions do you have experience with from an architecture standpoint? Experience with CI/CD tools and engineering practices (Jenkins, Octopus, Azure DevOps.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Proficiency in programming languages relevant to data engineering, including Python, Java, or Scala. Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.
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Experience with SQL, SAS, Python, Alteryx, or Advanced Excel for analytical and automation tasks. Audit Manager (AML Data Quality (DQ) Audit Team) Charlotte, North Carolina /Dallas, Texas / Plano, Texas (Hybrid 3 days in office/ 2 days remote) ARC Group is currently looking for an Audit Manager (AML Data Quality (DQ) Audit Team) for a Fortune 500 company we are representing in the Banking/Financial Industry.
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Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON) Experience implementing and supporting Microsoft Azure infrastructure and topologies (Operations Management Suite, Application Insights, Azure App Services, Azure SQL Databases, Azure Site Recovery, Azure Backup, Security Center, Azure Networking, Azure Storage, Azure Automation.
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Experience with infrastructure as code tools and engineering practices (Terraform, Ansible, ARM) This includes considering factors like data privacy, access controls, and encryption. High-level fluency in one or more scripting languages (Python, Perl, or similar.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. ETL development experience with strong SQL background, analyze huge data sets, trends and issues, and create structured outputs.
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