We're #hiring a new Fully Remote US Only - Azure Synapse Data Engineer in United States. Apply today or share this post with your network.
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#MicrosoftFabric is a new tool to explore in the Analytics market. Soon, there will be numerous job openings in this segment, similar to the current demand for Azure Data Engineers. #dataanalytics #dataengineering #datascience #datawarehousing
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IT & Data Consultant | Data Engineer | Business & Data Analyst | ex-AB InBev | ex-S&P Global | 3x Microsoft Azure Certified | 2x Google Certified | Fortune 500 Employee
Deep Dive into Azure Synapse Configuration for Data Engineers! Recently finished the "Microsoft Azure Synapse for Developers Scaling Configuration" course, and I'm impressed! This was a great refresher on the advanced configuration options within Azure Synapse Analytics. As a Data Engineer, efficiently managing and securing our data warehouse environment is crucial. This course by Nertil Poci provided valuable insights into: - Optimizing Synapse configurations for better performance and cost control. - Automating tasks to streamline data warehouse processes. - Implementing robust security measures like autoscaling, encryption, and data masking. - Effectively managing workloads with project groups. Feeling confident that I can leverage these learnings to further optimize our Azure Synapse setup, leading to: - Faster data processing for quicker insights. - Enhanced data security to protect sensitive information. - Reduced operational costs through resource efficiency. Thanks to Nertil Poci for the excellent course! Definitely recommend it to any Data Engineer looking to elevate their Azure Synapse expertise. #AzureSynapse #CloudDataWarehouse #DataSecurity #SkillsDevelopment #ContinuousLearning #Hiring #JobSeeker #CareerDevelopment #Upskilling #Jobs #DataAnalyst #DataEngineer #DataEngineering #BusinessAnalyst #ITBusinessAnalyst
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Hii Connections, Hope you are doing well, We are urgently hiring for below positions please let me know if you are having any suitable resumes. E Mail- sireesha@incorporaninc.com Job Role : Analytics L3 Support Lead Location : Boston, MA- (Initially remote) Experience : 10+ years Must have skills: Azure Data Factory, Google Big Query, Redpoint Data Management Job Description : Collaborates with Architect for product development by analyzing the requirement, development, testing and final delivery of product. Significant experience in Azure Technologies i.e., Azure ADF, IoT, Event Hub, Cosmos DB, SQL DB, Snowflake etc. Expert in Azure Big Data Architecture and Azure Ecosystem ecosystem. Leads small teams to deliver advanced data modelling and optimization at scale. Proficient in managing data from multiple sources. Adept at exploiting technologies to manage and manipulate data, scaling data models and solutions to support analytics of business insights. Can write high-performance, reliable, and maintainable code with Azure technologies. Proficient in setting up and working with huge Big Data clusters, cluster monitoring, and maintenance. Coordinates with Data Architect and Project manager to update about project status. Proficient in working with CDP (Customer Data Platform), Match & merge, Hierarchy maintenance etc. Knowledge in DevOps- integration framework, and design Pipelines integrated with Azure Devops. Understand repeated issues in Azure platform (Data, Analytics Pipelines) and provide automations to fix those issues permanently. #azure #architect #adf #data #devops #bigdata #googleBigQuery #cdp #dataarchitect #Cosmos #DB #SQLDB #Snowflake
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#Azure #DataEngineer #DataBricks #DaytonaBeach #Florida # Immediate Need Azure Data Engineer with Databricks Azure Data Engineer with Databricks Location: Daytona Beach, FL (Hybrid) Contract Position #Note: #LookingOnlyLocalConsultant Scope of Work Deep understanding of Azure Cloud Platform and Engineering, Infrastructure setup and configuration, tools and services, Data access and sharing, and hands-on work. Key objectives Include tasks such as designing and maintaining Databricks infrastructure, optimizing data engineering workflows, and ensuring data quality and governance. Deep understanding of Databricks tools and products like Delta Tables, Delta Like Tables, Unity Catalog, Serverless execution and setup and configuring experience. The technical skills and expertise required for the role, such as proficiency in Databricks, Apache Spark, cloud platforms (Azure), programming languages (Python, Scala, Java), data modeling, and database design. Collaboration with other team members, such as data scientists, data engineers, and business stakeholders. Emphasize the need for effective communication, documentation, and knowledge sharing within the team. The expected outcomes and performance indicators for the Databricks Engineer. This could include metrics such as data processing efficiency, data quality improvements, and successful project completion. Skill Set 3-4 Years of working experience on Azure Platform – Infra, tools and services 2-3 years of experience on optimize and tune Databricks clusters for performance, scalability, and reliability for data engineering workloads. Develop and maintain ETL pipelines to extract, transform, and load data from various sources into Databricks. Hands-on working experience on Python/PySpark using Databricks Notebooks and Workspace. Experience in troubleshoot and resolve Databricks-related issues and provide technical support to users. Architect and Design, Databricks deployment strategy and experience on data engineering tasks, including data processing, transformation, and integration. Implement Azure data engineering best practices, including data quality checks, data lineage, and data governance, within the Databricks environment. Leverage Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure Thanks & Regards, Battu Raghu braghu@futransolutions.com
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#immediatehire #linkdlnid plz Azure Data bricks Admin (Onsite) need data architech experience Location: Daytona Beach, FL No remote, Need to work from the Daytona office. Duration Longterm contract Scope of Work Deep understanding of Azure Cloud Platform and Engineering, Infrastructure setup and configuration, tools and services, Data access and sharing, and hands-on work. Key objectives Include tasks such as designing and maintaining Databricks infrastructure, optimizing data engineering workflows, and ensuring data quality and governance. Deep understanding of Databricks tools and products like Delta Tables, Delta Like Tables, Unity Catalog, Serverless execution and setup and configuring experience. The technical skills and expertise required for the role, such as proficiency in Databricks, Apache Spark, cloud platforms (Azure), programming languages (Python, Scala, Java), data modeling, and database design. Collaboration with other team members, such as data scientists, data engineers, and business stakeholders. Emphasize the need for effective communication, documentation, and knowledge sharing within the team. The expected outcomes and performance indicators for the Databricks Engineer. This could include metrics such as data processing efficiency, data quality improvements, and successful project completion. Skill Set 3-4 Years of working experience on Azure Platform – Infra, tools and services 2-3 years of experience on optimize and tune Databricks clusters for performance, scalability, and reliability for data engineering workloads. Develop and maintain ETL pipelines to extract, transform, and load data from various sources into Databricks. Hands-on working experience on Python/PySpark using Databricks Notebooks and Workspace. Experience in troubleshoot and resolve Databricks-related issues and provide technical support to users. Architect and Design, Databricks deployment strategy and experience on data engineering tasks, including data processing, transformation, and integration. Implement Azure data engineering best practices, including data quality checks, data lineage, and data governance, within the Databricks environment. Leverage Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure kvasanth@futransolutions.com
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#immediatehire #linkdln.id plz #Azure Databricks Admin (Onsite) Location: Daytona Beach, FL No remote, Need to work from the Daytona office. Duration Longterm contract Scope of Work Deep understanding of Azure Cloud Platform and Engineering, Infrastructure setup and configuration, tools and services, Data access and sharing, and hands-on work. Key objectives Include tasks such as designing and maintaining Databricks infrastructure, optimizing data engineering workflows, and ensuring data quality and governance. Deep understanding of Databricks tools and products like Delta Tables, Delta Like Tables, Unity Catalog, Serverless execution and setup and configuring experience. The technical skills and expertise required for the role, such as proficiency in Databricks, Apache Spark, cloud platforms (Azure), programming languages (Python, Scala, Java), data modeling, and database design. Collaboration with other team members, such as data scientists, data engineers, and business stakeholders. Emphasize the need for effective communication, documentation, and knowledge sharing within the team. The expected outcomes and performance indicators for the Databricks Engineer. This could include metrics such as data processing efficiency, data quality improvements, and successful project completion. Skill Set 3-4 Years of working experience on Azure Platform – Infra, tools and services 2-3 years of experience on optimize and tune Databricks clusters for performance, scalability, and reliability for data engineering workloads. Develop and maintain ETL pipelines to extract, transform, and load data from various sources into Databricks. Hands-on working experience on Python/PySpark using Databricks Notebooks and Workspace. Experience in troubleshoot and resolve Databricks-related issues and provide technical support to users. Architect and Design, Databricks deployment strategy and experience on data engineering tasks, including data processing, transformation, and integration. Implement Azure data engineering best practices, including data quality checks, data lineage, and data governance, within the Databricks environment. Leverage Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure kvasanth@futransolutions.com
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Skylark Hiring!!! Join us as an Azure Data Engineer, revolutionizing data infrastructure and analytics with Azure's cutting-edge technologies. Leverage your expertise to architect scalable solutions and drive data-driven insights for transformative business outcomes. #AzureDataEngineer #DataInfrastructure #CloudAnalytics #AzureTechnology #DataDrivenInsights #TechCareer #DataEngineering #CloudComputing #BigData #DigitalTransformation
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#hiring #AWS #Databricks #terraform #IAM #sivak@arkhyatech.com #AWS #Databricks Platform administrator @ #Remote / #Tampa, FL Position Overview: The AWS Databricks Platform administrator is a technical role to design, implement and maintain process used to manage the organization’s Databricks platform. The administrator will be responsible for facilitating the work of data analysts, data engineers and data scientists while maintaining best practices for security and compliance. Unity catalog will be used to implement access and identity policies. Infrastructure will be maintained using Terraform. The administrator will be responsible for assisting with compute issues, monitoring and alerting, and assuring the platform functions smoothly. This role requires great organization and communication skills. Job responsibilities: Manage and maintain role-based access to data and features in the Databricks Platform using Unity Catalog Implement external access controls for outside teams using service principles, SQL warehouses and Delta Sharing Work with platform users to solve problems and facilitate work Create infrastructure for AWS and Databricks using Terraform: S3, IAM roles, Instance Profiles, KMS Keys Improve processes and systems used to manage infrastructure, users and external access Keep track of unused assets for pruning Understand and implement best practices for security and compliance Implement service principles and access tokens for external users Understand how to utilize Databricks APIs to automate administrative tasks Create queries and dashboards to monitor critical systems and processes Create documentation for users and admins Automate common admin tasks using Databricks notebooks Manage workflow tags, cluster tags, workflow naming convention enforcement Clusters health check and best practices implementation Regular back up & recovery Privilege reviews on users and resources Required qualifications: 4 or more years of experience administering the Databricks platform Strong understanding of data engineering needs Experience creating AWS infrastructure with Terraform Strong understanding of AWS infrastructure required by Databricks Experience with compliance audits/audit documentation Experience using Databricks APIs with tools like Postman Understanding of the Databricks workspace and development environment Experience using GitHub to manage source code Strong SQL skills for creating admin related queries and dashboards Strong debugging skills Ability to do risk analysis for 3rd party integrations with AWS resources. Knowledge of Python a plus Familiarity with Datadog
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Aim to Up-skill Youth Globally. Azure Data Engineer|2X Azure|2X Oracle| Mentor|Trainer|Expertise in Azure Databricks
Azure Data Factory- Realtime Implementation of SCDType2🎁 Please go through the attached video to see how easily we can implement SCDType2 using Azure Data Factory Data Flows. This is Meta Data Driven Pipeline which can dynamically understand the schema of different tables and perform SCDTyp2 so you will not have to create multiple pipelines. 🐱💻🐱💻Please share /save this so that you can benefit out of it. 🔥It 's asked in almost every interview you face for Azure Data Engineering. Whatspp Group:- https://lnkd.in/gTk-FBHi #hiring #analytics #Technology #bigdata #adf
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Data Engineer at Pella Corporation | ▶Databricks ▶Spark ▶SQL ▶Azure| I Help Companies Optimize Data Infrastructure and Drive Actionable Insights | Azure Data Engineer Associate
Most important to learn if you are attending Data Engineering interview. Thank you Ashok Kumar for such a clean implementation of scd 2. #dataengineering #dataarchitect #datawarehouse #dimensionalmodeling #scd #scdtype2
Aim to Up-skill Youth Globally. Azure Data Engineer|2X Azure|2X Oracle| Mentor|Trainer|Expertise in Azure Databricks
Azure Data Factory- Realtime Implementation of SCDType2🎁 Please go through the attached video to see how easily we can implement SCDType2 using Azure Data Factory Data Flows. This is Meta Data Driven Pipeline which can dynamically understand the schema of different tables and perform SCDTyp2 so you will not have to create multiple pipelines. 🐱💻🐱💻Please share /save this so that you can benefit out of it. 🔥It 's asked in almost every interview you face for Azure Data Engineering. Whatspp Group:- https://lnkd.in/gTk-FBHi #hiring #analytics #Technology #bigdata #adf
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