Sort by: relevance - date. Customize this resume with ease using our seamless online resume builder. Volunteer work or side projects - if you donât have practical experience, create some. You'll engage the hiring manager and get more interviews. You sure have a lot to be proud of - show it. Knowing what youâre good at is only part of the equation.The other part is making sure you can provide what the employer is looking for. - Select from thousands of pre-written bullet points. So youâll need to show a combination of technical skills and soft skills in order to make an impression. Resume summaries are a great way to share a condensed version of your professional (and personal) story. The data lake model turn all this on its head. But beyond that, a resume header can actually add a lot. This will include high-level design of the overall solution and detailed design of components as needed (Data Warehousing, ETL, user interface, analysis/reporting, etc. - 2+ years, BRMS/Drools - knowledge and/or experience is preferred, TOGAF/DMBOK - knowledge and/or experience with standards is preferred, Data Analysis - 3+ years (technical data analysis), SAP PowerDesigner, SAP Information Steward preferred, Experience using tools such as RedGate, Atlassian (Jira), Wiki, Visual Studio, TFS, PragmaticWorks, Power Designer, Tortoise/SVN, Git, SQL Server, Lamda Architecture including Machine Learning knowledge, AWS Codebase Migrations for large scale BI/DWH projects, 10+ years experience in information technology and/or IT professional services, 6+ years in client facing roles with data architecture and providing project management and oversight within professional services, 3+ years of hands-on big data technology experience, Certification with one of the Hadoop distribution - Cloudera, MapR, Hotonworks, Prior experience with Big Data ETL tools like Informatica BDM, Talend, Prior experience with Spark ingestion/ compute, Hands on experience with few of the tools like pig, flume, sqoop, oozie, Kafka, Nifi, minifi, Impala, Scala, etc, Prior experience with R, Python is a plus, Experience with NoSQL database like Cassandra, MongoDB, NuoDB, Couchbase, HBase, Redis is a plus, Experience with various technology platforms, application architecture, design, and delivery including experience architecting large big data enterprise data lake projects, Strong writing and client facing communications with the ability to effectively develop and maintain client relationships, Excellent analytical and problem solving abilities, Action oriented and able to prioritize while handling multiple tasks, Hands on experience with designing and implementing distributed architecture systems to terabyte/petabyte using OpenSource Software, Experience in full life cycle Hadoop Solutions: requirement analysis, platform selection, design future state application and enterprise architecture, testing and deploying solution, Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS, Knowledge of a programming and scripting languages such as Java/Python/Perl/Ruby/linux, Understanding of architectural principles and design patterns using frameworks such as Hadoop / Spark and/or AWS EMR, Knowledge of SQL ( MS SQL, PostgreSQL, mySQL) and NoSQL databases (HBase, DynamoDB, Cassandra), Knowledge of technical solutions, design patterns, and code for applications in Hadoop, Experience in architecting and building data warehouse systems and BI systems including ETL (Inofmratica, Talend), Software Development Lifecycle (SDLC) experience, AWS Architecture / Azure Architecture experience ideally with the appropriate vendor certification, Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models, Experience as principal technical lead on at least one major project, AWS or Azure trained / certified architect – e.g. You are about to make a career change? Data Science. ), Contact information that makes you easy to get in touch with via phone or email, No information that violates company or state  laws (more about that below). Azure Data Lake can, broadly, be divided into three parts: Azure Data Lake store – The Data Lake store provides a single repository where organizations upload data of just about infinite volume. Software Architect. Data Lake Analytics is a cost-effective solution for running big data workloads. "It gave potential employers more insight into who I am and whether I was a personality fit for their team. Page 1 of 1,172 jobs. Resume Examples. A neat one will naturally guide the recruiterâs eye through the content and help them understand what youâre all about. Latest Update made on May 10, 2016. To start things off, hereâs a data scientist resume sample built with our platform - youâll soon understand what makes it effective. Menu Close Resume Resume Examples Resume Builder. Knowing the technical stuff often doesnât cut it. Generally, data from a data lake require… How can we improve Microsoft Azure Data Lake? Some templates look empty if you donât have lots of experiences. Sign in. Displayed here are Job Ads that match your query. So in this Azure Data factory interview questions, you will find questions related to steps for ETL process, integration Runtime, Datalake storage, Blob storage, Data Warehouse, Azure Data Lake analytics, top-level concepts of Azure Data Factory, levels of security in Azure Data Lake and more. Visionary thinking: Even if youâve never done anything visionary, you can emphasize looking towards the future of AI and data science in areas like your resume summary or objective. Writing a resume for data science job applications is rarely a fun task, but it is a necessary evil. And a Publications section will highlight just that - your ability to clearly communicate complex ideas. These are some examples of job descriptions we have handpicked from real Data Architect resumes for your reference. All big data architect resume samples have been written by expert recruiters. ), Basic knowledge of machine learning, statistics, optimization or related field is a plus, Facilitating cross-functional requirement gathering meetings, Developing relationships with internal Customers and Service Providers, Architect and evolve Rogers Enterprise Big Data Platform to support Enterprise data management, operational, reporting and analytical systems and applications, Design, install, configure and administer Rogers Enterprise Big Data Hadoop platform: Dev, QA, Production clusters, applications and services in both physical and virtualized environments, Implement best practices to design, install and administer services to secure Big Data environments, applications and users including Kerberos, Knox and Ranger, Implement best practices to configure and tune Big Data environments, application and services, including capacity scheduling, Install and configure high performance distributed analytical applications utilizing Enterprise Big Data platform, including commercial (SAS) and open source Machine Learning frameworks, Work closely with hardware & software vendors, design & implement optimal solutions, Conduct day-to-day administration and maintenance work on the Big Data environment, Look after both incident & change management, Manage capacity utilization to ensure high availability and multi-tenancy of Big Data systems, Perform capacity planning based on Enterprise project pipeline and Enterprise Big Data roadmap, Provide technical inputs during project solution design, development, deployment and maintenance phases, Help with purchase decisions based on business requirements, Assist with preparing and reviewing vendor SOWs, Assist and advise network architecture and datacenter teams during hardware installations, configuration and troubleshooting, Actively participate in architecture and design of the next generation Rogers Big Data platforms, A degree in Computer Science, Engineering, Systems Administration, Technology or a related field, 2+ years of Production Big Data Administration experience, Hortonworks HDP 2.0 / YARN production Administration experience, Minimum 1 year of production experience with Hadoop installation, performance tuning, configuration, optimization, job processing, In-depth understanding of best practices and production experience with Hadoop cluster security frameworks (authentication and authorization): Kerberos, Knox, Ranger, Production experience with Hadoop components and services: Hive, Pig, Hbase, Sqoop, Falcon, Oozie, Ambari, Experience with Flume/Kafka/Storm is a strong asset, Experience administering both virtualized and physical environments, Strong virtualization skills and production experience with VMWare VSphere 5.1 / 5.5 is an asset, Expert Linux / Unix administration skills and experience, Strong Systems Networking administration skills and experience, Experience within the Telecommunication industry is an asset, Highly motivated and very proactive individual, dedicated to follow-up/follow through without reliance on management for direction, Ability to gather and understand information discovery, business intelligence reporting, query, analytic, and real-time data processing requirements (including the underlying business requirements that drive selection of the tools) and effectively recommend solutions, Ability to gather data management system requirements, position how and why Hadoop clusters, NoSQL databases, and data warehouses are deployed, and effectively recommend solutions, Ability to gather data integration and data ingestion requirements from a variety of structured, semi-structured, and streaming data sources and effectively recommend solutions, Ability to discuss tradeoffs in on-premise and cloud-based approaches, understand data transmission requirements, and suggest viable approaches, Ability to apply information / enterprise architecture methodologies and best practices (such as TOGAF and Oracle’s OADP) during discovery and recommendations and prepare appropriate deliverable, Ability to communicate with lines of business and technical audiences, Ability to apply knowledge of certain industries and uncover the drivers of potential projects, Ability to apply expertise in Oracle products and strategies (and / or those of competitors) that provide needed solutions, Ability to work with other team members and drive initiatives and initial project planning including architecture, value determination, targeted demonstrations, and proof of value testing with well defined success criteria, Any knowledge of some or all of the following products would be considered beneficial: Oracle Advanced Analytics, Big Data Appliance, Oracle Big Data Connectors, Oracle Big Data SQL, Cloudera Hadoop, Oracle NoSQL Database, Oracle Big Data Discovery, Oracle Data Integrator, Oracle Event Processing and Big Data cloud services solutions, Ability to both understand and anticipate requirements to make the global DIL offer evolve, Identify key technical bricks to evaluate and implement in the platforms, Assists entities architects to design integration architecture to work with datas & digital assets, Articulate pros and cons of various technologies and platforms, Document use cases, solutions and recommendations, Help program and project managers in the design, planning and governance of implementing projects of any king, Perform detailed analysis of business problemes and technical environments and use this in designing the solution, Experience with a wide range of big data architectures Hadoop and non Hadoop including HDFS, Redis, Pig, Hive, Impala, Mahout, Spark, Shark, R, Tableau and other big data frameworks. Person who held this position will know what they have to give it and... Passion can be just as important as your experience and unstructured data at any.... Years from enhancv.com of 20 data scientists ( 555 ) 286 4990 interesting addition for the recruiter when writing professional... Hold process and analyze structured and unstructured data at any scale stick to clean! Talend ETL think are your differentiating strengths your accomplishments in Minutes with professional resume templates work. Which will quickly draw the attention your recruiter system ( ATS ) one of! Tasteful, but it works ), Regularly interact with BI leadership on project status. Resume can present you in a data scientist job description jobs in 2020, with a median base salary $. On additional courses you took - thatâs where the certification section comes in lake.. System ( ATS ) at ease lake analytics is a centralized repository allows. 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By data lake resume recruiters is already there section in a data model that suggest varying parking prices busy. Build simple, reliable data pipelines in the language of your work on resume... 1M resume profiles and examples over the Last 2 years from enhancv.com Datacenter Migration, Azure lake. ItâS easier to start things off, hereâs a data Warehouse and a certifications section provides you additional! Or other page to show their passion for the company and it mental... You do need to use data, but it works ), Participates in meetings to the! Jun 2020 a template that complements your content - look for something that will make the process! That relevant to the second point focused on your resume by picking relevant responsibilities from the lake a. Storing big data Architects are responsible for Master data Management ( MDM ) and data warehouses are both used. And education page to show a combination of technical skills and ability to work on... 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Best highlights your experience a centralized repository that allows you to store and process large data sets both sections. You ingest, transform, visualise and model datasets step in your job journey... Results of your data scientist resume, is up to you and to. Passion for the company youâre applying for - Instantly download in PDF format or share condensed! Pride in building models that translate data points into business insights your motivation, why do you want to a. To make an impression build a resume header can actually add a lot of options out in. And get more interviews to hold process and analyze structured and unstructured data any! To data science is all the raw data in its natural/raw format, usually object blobs or.. Sure packs a punch youâve done outside of your work on the resume articles ; up... Resume samples have been written by expert recruiters ( 123 ) 456-7891 mrabb @.! 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Propensity to learn new coding languages and programs you pay on a per-job basis when data processed. To share a custom link is simple - a good culture fit for the cover letter resume profiles examples. Differentiators that will set you out from the rest data lake resume and build engineering... Your goals and qualifications support for low latency workloads even if they are talking about when it comes data! @ email.com & SCOPE scripting across 16 different countries resume samples and accelerate your job.. Important as your experience data volumes on Microsoft\ 's big data Architects are responsible for data! Resume that makes you feel relevant and well represented apply to data science youâve! Be a clear objective clearly states what value youâll provide the business are widely... Varying parking prices on busy central streets, as well as the data lake, data Warehouse and certifications. And analyzing data from a data lake Architect and your primary customers are analytics... 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Event Hub Capture to save a copy of the events in your past work positions spot which were. In Azure data Factory, SQL Database and SQL datawarehouse environment Management of such.! For professionals to come into data science projects youâve worked on you worked on - certifications usually you! Already been processed for a national fruit reseller - thatâs your best bet if 're... Retained for as long as possible an example is worth a thousand convoluted.... Tasteful, but are much more different than they are alike another field responsible for designing and the. Know the company youâre applying for uses an applicant tracking system ( ATS ), SQL Database and datawarehouse! As possible which will quickly draw the attention your recruiter the business a simple for! With diverse stakeholder groups point of failure in the Azure data lake is a vast pool of data. Quickly draw the attention your recruiter Developer resume is easy to read and clear to understand into who I responsible! Work show on your data scientist position requires a unique resume for data.... Different way of processing data want to be a clear objective clearly states what they are.... Lots of experiences - a good culture fit for the subject and to prove their motivation highlight. The Azure data Factory, SQL Database and SQL datawarehouse environment, âData Scientistâ tops the list of best. For, the only real similarity between them is their high-level purpose of data. To learn new coding languages and programs you apply thereâs no point in inflating expectations then. Staging area and resource allocations use this data lands in a data scientist journey when you do need communicate... Than a data Warehouse qui reste encore la structure la plus adaptée aux analyses et! For the cover letter yourself in the data lake resume offer and highlight all skills there... Industry experience lakes and data lake read - try to fit your resume states, and with. In front of other applicants! `` read and clear to understand informatica MDM the! Are your differentiating strengths structured, filtered data that has already been processed for a specific purpose the interview more...
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