Designed the cluster for processing enterprise structured data from data warehouses like Teradata and SAP HANA and unstructured data from weblogs, XML, social Media and flat files. The consortium of Confidential was declared both T1(Technically most competitive) and L1(Price Wise most competitive). Azure Architect role is responsible for technical, training, cloud, technologies, architecture, database, development, leadership, technology, troubleshooting. Designed the Hadoop platform for high performance and low cost when compared with existing in-house data warehousing systems. Orchestrated cross-organisational partnership for activities like evaluation of Apache Hadoop distribution, cluster design, hardware selection and wiring, security and access management, integration of ingestion and extraction tools with existing enterprise landscape. Azure Devops Engineer Roles & Responsibilities: Automated Continuous Integration builds, nightly builds, deployments and unit tests across multiple different environments ( DEV , QA, Training, Production) each constituting different types of servers (DB, App, Web) and different number of servers of each type (for load … Transitioned the cluster to production support and managed production support activities like Cluster space management, maintenance of critical services like Mapreduce, Hive, Impala till handover to managed services. Over 6 years of Experience in IT Industry comprising of Linux Administration, Continuous Delivery/ Continuous Integration, Build and Release management, VMware, containerization and cloud ManagementExperience in Cloud automation using AWS Cloud Formation templates. Enabled the ‘Capacity Scheduler’ to balance Hadoop cluster resources, enabling multiple Mapreduce batch jobs to run in parallel on the cluster. Supported underlying backend storage for database engine. Azure / AWS Cloud Engineer Resume Examples & Samples Understanding of cloud computing technologies, business drivers, and emerging computing trends Proven track record of building trusted technical and business relationships with business executives and driving grow in highly strategic or key accounts Enterprise architect for Sales and Marketing IT organization specialising in areas of Enterprise Architecture for Big Data, Hadoop and Analytics. Led multiple PoCs with the aforementioned Big Data platform demonstrating value to business groups. Total data size is approx. Successfully strategized and executed multiple enterprise cloud transformation programs in areas of Big Data and Enterprise Applications in the below areas. In process of ramping up on Confidential Azure to enable the creation and management of Big Data architectures using MS Azure. Also trying out SparkSQL as an alternative. Responsibilities For Data Migration Engineer Resume Two to five (2-5) years of work experience in Data with 1 or more technologies (BI, DA, DW, ETL, DBA, Data Conversion, SQL) Of experience as system integration engineer, data analyst, implementation engineer; preferably in a medical environment It’s trendy. The Resume-AzureRmSqlDatabase cmdlet resumes an Azure SQL Data Warehouse database. Conceptualizing and migration of SAP Upstream systems to AWS to reduce TCO. Work experience. This included conceptualizing the architecture from the Govt RFP, sizing the Azure Cloud infrastructure, designing and setting up PowerBI connectivity all the way up to building the actual Tender dashboards for the paid PoC. Solution utilized PowerBI, Enterprise Gateway and Azure SQL Server. Project is inflight and is work is progress to enable multiple insights for the Owner, dealer and manufacturer. Installed HortonWorks Hadoop cluster on Confidential Azure cloud in the UK region to satisfy customer’s data locality needs, Created Data ingestion methods using SAP BODS to load data from SAP CRM and SAP ECC into HDFS. Translated the same into appropriate Hive Jobs. An Azure Data Engineer will be expected to be able to create and deploy infrastructure that stores and organizes data so that it can be fed into data … ... when a user uploads a resume, we upload it to Azure Blob storage and run an Azure Search indexer. Designed Hadoop Cluster security using various security protocols which included - -, Conducting data security workshops to explain data security aspects and gained insight into customer requirements, Enabling cluster perimeter security using AWS VPC, Conducting EC2 Port audits to enable only those ports needed by Cloudera Manager and Hadoop to perform. Used Azure data factory and data Catalog to ingest and maintain data sources. 459 Azure SQL Server Cloud Database Administrator jobs available on Indeed.com. Managing Database,Azure Data Platform services (Azure Data Lake(ADLS), Data Factory(ADF), Data Lake Analytics, Stream Analytics, Azure … Enabled multiple data ingestion techniques like Flume, Sqoop, Enterprise ETL tools and simple PUT based HDFS data insertion to enable ingestion of business data into the cluster through multiple ways. Providing hands on expertise in realization of small PoC’s to gain business confidence leading to commitment to the overall transformation, Customer Support Area: Enabling loading SFDC data using Sqoop into Hive Tables for querying. Azure Resumes. Server: 16 two socket Confidential Xeon Servers based on E5-2600 family of processors. Involved in migration to AWS from … Successfully delivered on the below big data use cases at Confidential resulting in a total estimated savings of $10 M a year. Microsoft Certified: Azure Security Engineer Associate ... implement Azure SQL Database Always Encrypted Configure and manage Key Vault manage access to Key Vault manage permissions to secrets, certificates, and keys configure RBAC usage in Azure Key Vault This data hub becomes the single source of truth for your data. To write great resume for azure architect job, your resume must include: Your contact information. Here are some sample work experience responsibilities to consider for your Data Engineer resume: Designed, tested, and maintained data management and processing systems (… Sign in. Customer Insight: Conjoining data gathered from Websites and Consumption data gathered from Teradata warehouse was used to enable better product availability and appropriate inventory levels at various manufacturing sites. Fitment into the massively parallel platform, security, high availability and multitenancy support. Are you looking for Cloud Engineer - AWS resume samples? Designed Big Data landscapes with Hortonworks Hadoop stack, Flume, Jasper charts to enable analytics models for security and instruction detection for a Swiss Customer. Maintenance of the SQL Database(s) Technical Documentation of the SDLC Processes involved. Privacy policy Worked with the ETL Team to load the Financial Statements of Advice ( SoA ) into the HDFS layer. Strong experience in Azure Cloud platforms like. Establish an enterprise-wide data hub consisting of a data warehouse for structured data and a data lake for semi-structured and unstructured data. Conceptualized and built a Big Data analytics platform at Confidential with open source tools to enable a wide range of Customers do proof of concepts at very low price points. Designed end to end Azure cloud based analytics dashboard for a state government for showing real time updates for the recently their state assembly elections 2016. Rated Top Data Platform Architect in Confidential ’s Connect(Appraisal Program). Many services in Azure allow certain cost savings through automation, this can also be achieved with the Platform-as-a-Service “Azure SQL Database”, this is what this blog post is all about. Architected the congregation of 3 key components of the Big Data platform, On-Prem third party Massively Parallel Platform (MPP) hardware, Chose Confidential ’s distribution of Apache Hadoop after extensive performance evaluations with two other vendors of Hadoop that included the below. Responsibilities Uses Azure Data Factory (ADF) to create multiple complex pipelines and activities using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW…Seeking a Cloud Data Developer that has proven Azure Cloud skills based around the design and development of multiple data pipelines … Build a successful Senior Azure Cloud Solution Architect resume. Recommendation Engine: Apache Mahout Algorithms were utilise to classify and cluster incidents to build a scalable recommendation engine that could be used by various businesses. Implemented Microservices on Open Shift based on Docker to achieve Continuous Delivery; You will still be able to earn this certification by passing DP-200 and DP-201 until they retire on June 30, 2021. Security on HdInsight was enabled using Azure Active directory and. How to write Azure Architect Resume. As an Azure Data Engineer, it would be helpful to embrace Azure from a wholistic view beyond the fundamentals … Developed a predictive analytics engine to deliver information and insights using real time ongoing predictive analytics. Network Adapters: 10GbE Converged Network adapters, © 2021 Hire IT People, Inc. 7.5 Petabytes. Keywords or title. Azure Database Migration Service Simplify on-premises database migration to the cloud; ... our user is interested in transitioning from a Software Engineering role to Program Management. Apply to Database Administrator, Database Engineer, Senior Database Administrator and more! Database Engineer, SQL Server Resume Examples & Samples Build, scale, and administer Facebook’s internal enterprise RDBMS databases including Oracle and Microsoft SQL Server Own the technical stack from end-to-end: from servers to OS to databases to applications and everything in-between Data science is all the rage. Owned multiple end - to-end transformations of customer business analytics challenges decomposing them into a combination of suitable infrastructure (IaaS/PaaS/Hybrid) and software (Mapreduce) paradigms and then used machine learning algorithms to derive effective intelligence from data lakes. Used General Linear Model using MS Big ML and provided insights into risk of failure of these excavators. Ease of administration, operation and upgrades. Working with customer architects to create roadmaps for 3 separate business tracks migrating to the new data processing architecture. Built a Hortonworks Cluster on Confidential Azure to extract actionable insights for data collected from IOT sensors installed in excavators. Decomposing requirements from individual business tracks into small use cases which could then be realized using time bound proof of concepts. Quite as simple as e.g. How to describe the responsibilities of a Data Engineer on your resume: Expounding on your rules and responsibilities is key to your resume. It’s hot. Implemented compaction scanning for BW-Tree index. Creation of simple reports from excelcious. A proof of concept was undertaken that demonstrated reduction of incidents about 30% of 4000 per week. Designed and built multiple Elastic Map Reduce( EMR) clusters on AWS cloud for Hadoop map reduce applications for enabling multiple proof of concepts. A Data Platform Solution Architect presently associated with Confidential Corporation with a strong consulting and presales background possessing 15 years of hands on experience in Big Data, Data Science, Cloud and Enterprise applications. Automate deployment and troubleshoot mechanisms for quick … Integrated system to Confidential ’s Enterprise Access Management tool (EAM) and Active Directory for seamless authentication into the system. Currently working on enabling a Hadoop cluster to enable the extraction and processing of Customer data from Confidential web interaction sites. Integrate relational data sources with other unstructured datasets with the us… Conducted multiple workshops with the business to understand the data and determine which insights would bring the most immediate value. The Tender was awarded to this consortium in January 2017. Search for: Jobs Resumes. Provided insight into Data at rest encryption using Navigator Encrypt utility. in Software Development,Analysis Datacenter Migration,Azure Data Factory (ADF) V2. Data Engineers are responsible for designing and implementing ways to govern, supervise, and secure a company’s data using tools from across Azure’s swathe of data services. Azure/devops Engineer Resume Framingham, MA. ), Extensively worked on system analysis, design, development, testing and implementation of projects (SDLC) with different methodologies like, Experience in Data Centre Migration Activities, Good Knowledge on NoSQL database like MongoDB (University Certified), Dynamo & Cosmos DB, Design, implement and administer databases on MS SQL Server 2014/2016 platforms for OLTP, Migrating on-premises SQL Server Database to, Implemented new SQL Server features by performing successful, Experience in managing Very Large databases (VLDB) and troubleshooting problems, Have Good understanding & experience on different, Experienced in Securing data with Dynamic Data Masking, Always Encrypted, Row-level security, Design, implement and administer databases on MS SQL Server 2012/2014 platforms for OLTP, Experience in Migrating SQL Server databases to Amazon RDS, Experienced in designing database and code with proper, Ensuring Database security by restricting and following corporate standards, Perform query optimization & performance tuning using tools like SQL, SecureFX Configuration with Perl Scripts for File Transfer, Good Knowledge in TFS 2015 and Microsoft RM, Installing & Administrating SQL SERVER 2000,2005,2008,2008 R2, MySQL 5.5 & 5.6, Installed Stand-alone SQL Server on VMWare, Upgraded databases from SQL Server 2000 to SQL Server 2005 and 2005 to 2008, Expertise in Database Maintenance Plan Wizard, creating, scheduling Maintenance Jobs, Implemented disaster recovery solution Database Mirroring, Log Shipping and Replication, Experience in maintenance and Administration of SSIS by creating Jobs, Alerts, SQL Mail Agent, and schedule, Transformed data from one server to other servers using tools like Bulk Copy Program (BCP), Data Transformation Services (DTS) and SQL Server Integration Services (SSIS), Implemented SQL Server OLAP services(SSAS) for building data cubes, Developed MDX scripts to create datasets to perform reporting and included interactive drill down reports, report models, Experience in Designing Multidimensional model, creating Parameterized Reports, KPI, Scorecards, Designed & built Cubes with Star/Snowflake Schema, created several Dashboards and Scorecards with Key Performance Indicators (KPI) in Analysis Services (SSAS), Used Index tuning wizard to redesign and created the indexes for better performance, Fine tune Stored Procedures using Execution Plan in T-SQL for better performance, Streamlined the server/database level security by creating the Windows and SQL logins with the appropriate server/dB roles and object level permissions, Executed Change management scripts on daily/weekly basis. Azure SQL Database Sample Resumes Real-time Interview Questions : Basic to Advanced, available free. Demonstrated expert level technical capabilities in areas of Azure Batch and Interactive solutions, Azure Machine learning solutions and operationalizing end to end Azure Cloud Analytics solutions. Sized and designed scalable Big Data landscapes with central Hadoop processing platforms and associated technologies like ETL tools and NoSQL databases on both Cloud and On-Prem hardware to enable end to end business use cases. The analysis was conducted by collating sensor and maintenance data from multiple sources like engine oil temperature, pressure, maintenance history, battery level and fuel gradient. DataNodes: 26 TB HDFS raw storage / node with 96GB of RAM / node. Azure Data Engineer/ Design Responsibilities: Designed and architected scalable data processing and analytics solutions, including technical feasibility, integration, development for Big Data storage, processing and consumption of Azure data, analytics, big data (Hadoop, Spark), business intelligence (Reporting … Worked with various teams from Confidential Product Engineering, SAS Institute, Hortonworks and System integrators to string together and manage a consortium of vendors who pitched the offering to the government. Take an in-depth look at Azure SQL Database and Azure SQL Managed Instance—and see how to use your existing SQL Server skills to get started with your on-premises migration. Designed and built a Data Discovery Platform for a large system integrator using Azure HdInsight components. Created methodologies to extract and load data from flat files( Sales Commissions and Geo Discounts) into SAP HANA using SAP BODS, Identified tables extracted from SAP ECC, SAP SCM and SAP CRM and designed methodologies to load these tables into HANA using SAP Landscape transformation(SLT) service, Improved the and transformation logic in BODS to reduce errors in master data and transaction data to reduce jobs from failing in SAP BW, Generated EOL plans for Ab-inito and Teradata based systems to ensure smooth rollover into SAP HANA. Troubleshoot Azure related issues and engage internal teams and vendor for issue resolutions. Built mid to large clusters on AWS cloud using multiple instances of the Amazon EC2 cloud. Designing logical zones for data in MapR PoC clusters for loading data. Managed and influenced multiple business stakeholders from various geographies by way of explaining their use cases and how they will be impacted, benefits of HANA in their use case and critical timelines like quarter close reporting for commissions payout. Incident predictability: Proactively understand and monitor customer incidents and automate root cause analysis and incident prevention. This is free and it's for better job search process. Additional Interview Questions and … According to Glassdoor, “Data Scientist” tops the list of the best jobs in 2020, with a median base salary of $110,000.. It’s not just that they pay well, data scientist positions are in high demand too - 6.5 times as many data scientist positions were … Take advantage of this feature to easily and performantly ingest or migrate large-scale data, for example, from Amazon S3 to Azure … Lead architect in a Big Data implementation for an Australian Financial Services customer enabling Advice Compliance Monitoring using Cloudera Hadoop CDH 5.2.1 and associated Big Data technologies. Skills For Azure / AWS Cloud Engineer Resume Mentoring and training of cloud technologies to related IT teams in provisioning and managing AWS services Understanding of configuration, administration, patching, performance tuning/optimization, and troubleshooting for cloud or virtualization platforms Architected Big Data clusters on the cloud to ingest and write data from and to Amazon S3 storage and Redshift to keep cost of data storage to a minimum. Mongo view was used as the operational data store to view the data and generate reports. Azure Cloud Engineer, 10/2015 to Current Cognizant Technology Solutions – Bentonville. 9,199 Azure Resumes available on PostJobFree.com. Loaded results in Hive and then extracted them with the Informatica ODBC connectors to an AWS Redshift Cluster for R based analysis by the customer’s data scientists. Working with the customer chief architect to define his vision and help him in tool selection. Role Played: Senior Engineer Tools & Technologies: Windows Azure OS and SQL Services Operating Systems: Windows Azure, Windows 2008R2 and Windows Server 2012 Team size: 17 Responsibilities / Contribution: Worked in Windows Azure Deployment Engineering (WADE) Worked on Deployments and Deployment related issues Possess the domain knowledge on all the platforms of Microsoft Azure … Performed benchmark testing on the Hadoop Clusters to ensure. Enabled cloud watch and Ganglia on large AWS based cloud clusters to enable effective monitoring of clusters. This approach can also be used to: 1. Nagios and Ganglia were enabled for visualizing the cluster resources. The centralized data strategy also help Confidential get more insight into the data dependencies and drive more actionable intelligence. Designed the process to move an older data warehousing architecture from a Abinito - Teradata based system to BODS, SLT, SAP HANA based system. Creation of databases in mongoDB and creating Java applications. Senior architect responsible for anchoring the transformation journey for replacing the customer’s existing EDW with a Lamda data processing architecture with MapR Apache Hadoop distribution as the core engine. Resume alert: Resumes 1 - 10 of 9199: Design Developer. Model used multiple regression models to predict how airline seat prices and hotel reservations varied across the year given various parameters. Azure Architect Resume Samples and examples of curated bullet points for your resume to help you get an interview. Possesses hands on experience in Cloudera Hadoop, HortonWorks Hadoop, various ETL tools, Cassandra, and various Confidential IaaS/PaaS services. Strong experience of leading multiple Azure Big Data and Data transformation implementations in Banking and Financial Services, High Tech and Utilities industries. Microsoft Certified: Azure Data Engineer Associate EXAMS DP-200 AND DP-201 WILL BE REPLACED WITH EXAM DP-203 ON FEBRUARY 23, 2021. Designed a multi layered security architecture by creating a system for project isolation within the cluster preventing users from accidentally viewing or deleting data from another project’s centre. Cloud Support Engineer Resume Samples and examples of curated bullet points for your resume to help you get an interview. Designed an Azure EventHub and Stream Analytics architecture fulfilling the analytics and data storage requirement for a Smart Grid project. City, state or zip code. Candidates for the Azure Security Engineer certification should have subject matter expertise implementing security controls and threat protection, managing identity and access, and protecting data, applications, and networks in cloud and hybrid environments as part of an end-to-end infrastructure. Architected an SAP HANA landscape to transform the existing data warehousing landscape from SAP BW into SAP BW and SAP BO on HANA. And it also pays well. Deploy, Configure, Maintain Compute on Azure Cloud. Designed machine learning models for a major systems integrator to predict datacentre failure rates. Built numerous technology demonstrators using Confidential Edison Arduino shield using Azure EventHub and Stream Analytics, integrated with PowerBI and Azure ML to demonstrate the capabilities of Azure Stream Analytics. Evaluated and signed off on final cluster architecture which consisted of the below components. Created data silos to limit visibility into data using Apache Sentry so that data is displayed on a need to know basis, Configured data in motion encryption to encrypt shuffle and sort phases of MapReduce. Used Cloudera Manager and Cloudera Director to install separate Hadoop Clusters for Development and Testing. Get the Professional Azure SQL Managed Database Administration e-book for detailed, easy-to-follow guidance and activity plans to help you deploy, configure, and manage your own SQL Databases with Azure. Designed and architected scalable data processing and analytics solutions, including technical feasibility, integration, development for Big Data storage, processing and consumption of Azure data, analytics, big data (Hadoop, Spark), business intelligence (Reporting Services, Power BI), NoSQL, HDInsight, Stream Analytics, Data Factory, Event Hubs and Notification Hubs. Check out our professionally written resume sample for accountants. Project Envisaged installing around 70,000 electric consumption smart meters at residences and small scale industries all controlled by a smart grid. Implemented large Lamda architectures using Azure Data platform capabilities like Azure Data Lake, Azure Data Factory, HDInsight, Azure SQL Server, Azure ML and Power BI. | Cookie policy. Database Version: SQL Server 2000,2005,2008R2,2012,2014,2016, Platform: Windows 2012,2008 R2, Windows 2003, Windows 2000 Advanced Server, Tools Used: SQL Lite, Spotlight, Red gate SQL Compare, Ignite8, Solar Winds Performance Analyzer, Power shell, SQL Sentry Plan Explorer, Dynatrace, DMVs, DBCC Commands, Development Tools: SSMS, Visual Studio 2010,2012,2013,2015, BIDS 2005,2008,2012, ETL Tools: SSIS, DTS, SSAS, SSRS, Crystal Reports, Excel, Programming Languages: T-SQL, PL/SQL, MDX/DAX, VB .NET, C#, Sr. SQL DBA Consultant/ Azure Database Engineer, © 2021 Hire IT People, Inc. Versalite IT Professional Experience in Azure Cloud Over 5 working as Azure Technical Architect /Azure Migration Engineer, Over all 15 Years in IT Experience. These models ingested data from population demographics, student historical performance/dropout rate and family economics to arrive at a prediction and probability for the dropout rate. Enabled multiple Big Data use cases for customers ranging from Security as a service to Customer sentiment analysis, Enabled Big Data analytics using Hadoop to create predictive engine in SAP applications like SAP CRM. Provided hands on installation leadership and guidance on setting up and managing the Cloudera Hadoop Cluster with data at rest and data in motion encryption. Worked to Cloudera professional services to ensure the cluster was certified for production jobs. Involved in conceptualization and design of an Confidential Big Data Platform to extract structured and unstructured data from Enterprise transactional systems and then applying Big Data analysis techniques and Apache mahout machine learning techniques to determine customer sentiment. Translated the requirements which included Comparison of Scope and Strategy, Comparison of Scope of advice and recommended products, Cost comparison, Lost Benefits, Insurance ownership into effective mapreduce algorithms which were then run on the Financial Statement of Advice documents. Comprehensive understanding of large scale reporting architectures involving SAP BOBI, Information Design tool(IDT), SAP Lumira and Excelcius tools on the below areas: Reporting from SAP BO BI from Teradata or SAP HANA, Creation of a BO BI universe and reporting using SAP Web intelligence. Hire Now SUMMARY: Around 7+years of ... Migrated SQL Server 2008 database to Windows Azure SQL Database and updating the Connection Strings based on this. Conducted numerous training sessions, demonstration sessions on BigData for various Government and Private sector customers ramping them up on Azure Big Data solutions. Database Cloud Support Engineer Resume Examples & Samples. During an Azure Data Engineer interview, the interviewer may ask questions related to DevOps, CI/CD, Security, Infrastructure as a Code best practices, Subscription and Billing Management etc. Software architecture including support for ingestion tools, machine learning and statistical analysis. Worked throughout query, storage, and indexing layers of distributed database. Processed the data in HDP using Hive and provided simple analytics using Highcharts on a Meteor UI platform. with the Azure Analysis Service it is not because actually there is no pause-resume functionality – here …