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The Cloud Detection and Response Strategist (Microsoft Azure) is an integral part of the Synchrony Cyber Operations strategy team. Responsible for design and continuous-improvement of Synchrony's Microsoft Azure cyber detection and response strategies and capabilities.
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Knowledgeable in: Computer science fundamentals (algorithms and datastructures), relational databases, and modern service architectures Experience in the following technologies: Kafka, Docker, Helm, Kubernetes, GCP, AWS, Spark and Pyspark, Hadoop, Redis, MySQL, gRPC, Apache Arrow, and Apache Airflow.
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Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps. Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.
$170,000 - $190,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc. Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent on another cloud provider such as AWS or Google Cloud.
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10+ years of hands-on Data Warehouse architecture and development experienceDemonstrated expertise in Microsoft SQL Server and/or Azure development. Experienced using Azure Synapse Analytics.
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Ensuring data security and compliance with relevant regulations and best practices in all data operations. The Principal Data Engineer responsibilities include: Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods.
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Essential Duties and Responsibilities:The responsibility of Principal Data Engineer encompasses the entire lifecycle of the Data Warehouse environments that underpin our vital business requirements. Commitment to Internal Control:The Senior Data Engineer is required to possess a comprehensive understanding of and adhere to the system of internal controls associated with the fundamental duties and responsibilities of the role.
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Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes. Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
$170,000 - $190,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Proficient in SQL, with extensive experience in MS Azure and other modern data engineering tools. BlueTriton Brands offers an extensive portfolio of highly recognizable, responsibly sourced and packaged spring water, purified water and water beverage brands that include Poland Spring®, Deer Park®, Ozarka®, Ice Mountain®, Zephyrhills®, Arrowhead®, Origin™, Saratoga®, AC+ION®, Pure Life®, B'EAU®, Splash Blast® and Splash Fizz.
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Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance. As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform. Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins.
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Good understanding of cloud technologies in Azure, ADF, Synapse and Databricks. Good understanding of cloud technologies in Azure, ADF, Synapse and Databricks. Ability to query multiple databases like Oracle, Sybase, Hana and Teradata.
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Experience with SQL technologies: Databricks (Spark), OR Azure Synapse. Microsoft Fabric/Synapse, Purview, Profisee and Azure Databricks. Experience with SQL technologies: Databricks (Spark), OR Azure Synapse.
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