7. Implements procedures and protocols to monitor, analyze and verify data to ensure data integrity, Assesses and provides recommendations on business relevance, appropriate timing and deployment, Gathers and processes raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) Knowledge to perform complex data query and retrieval leveraging API’s, relational and non-relational data sources, Ability to maintain high standards with the work being performed and maintain awareness with trends and influences. Responds to and resolves technical issues in a timely manner. Search Data engineer jobs. ), Guide the processing of unstructured data into a form suitable for analysis – and then do the analysis, Provide technical expertise in designing and implementing data models for common usage of the Data Analytics team. Reaches compromise and consensus to influence and negotiate. Pentaho is a strong preference, Strong SQL and query tuning skills on MPP databases, Deep technical knowledge of columnar database technologies. Engineering Resumes. Here are examples of the formats you can use, and who should use them: Chronological resumes — best for mid-level professionals with a consistent work history. Participate in strategic & tactical planning discussions, including annual budget processes, Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience, 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience, Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports, Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets, Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies, Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams, Administer on premise and cloud based Hadoop clusters, Assist in selection and integration of big data tools/frameworks required to provide requested capabilities, Build, implement and support the data infrastructure; ingest and transform data (ETL/ELT process), May supervisor team projects and serves as a liaison with the PMO, Two years of experience architecting, building and administering large-scale distributed applications using Hadoop and/or Linux systems, Experience with building a data lake or transitioning from data swamp to data lake, Comfortable presenting and whiteboarding Big Data Solutions to executive leaders and stakeholders, Exposure to cloud products such as AWS or Azure, Explores existing data for insights, recommends additional sources of data for improvements and applications of the data (UI, search, etc…), Can identify risks, plan mitigation, and able to carry out plans, Bachelors Degree in an engineering or technical field, 5+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools, Strong knowledge of various data warehousing methodologies and data modeling concepts. More specifically, He has 5-10 years of experience developing on Power BI and 5-10 years on Big Data. into a form suitable for analysis, Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies, Researches and proposes opportunities for data acquisition and new uses for existing data, Develops, manages, and supports the programs partnerships and relationships within and outside of the University. Demonstrated computer and analytic skills to determine methodology alternatives, Ability to effectively communicate both verbal and written thoughts, ideas, and facts. Involved in End to End Validation deliverables. By reviewing job description examples, you'll be able to identify what technical and soft skills, credentials and work experience matter most to an employer in your target field. Here are some sample work experience responsibilities to consider for your Data Engineer resume: Designed, tested, and maintained data management and processing systems (list specific ones). to empower non-technical, internal customers to drive their own analytics and reporting, Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management, Work with business owners to build data sets that answer their specific business questions, Manage numerous requests concurrently and strategically, prioritizing when necessary, Experience with scripting languages like Python, Ruby, or Unix shell scripts. Cassandra, HBASE, MongoDB), SQL-based technologies (e.g. The fate of your resume could rest on your Quality Engineer resume objective. ), Degree in Computer Science, Engineering, Mathematics, or a related field and 5+ years experience, You have years of experience building high performance distributed systems solving large scale engineering challenges, You have expertise in Java, Scala, or other JVM-based programming languages, You have experience working with Big Data components such as MapReduce, Spark, Hive, Pig, You have experience working with NoSql databases such as HBase or Cassandra, You have working knowledge of stream processing systems and dealing with unbounded data, You have experience developing on stream platforms such as Samza, Storm, Spark Streaming, or Kafka Streams, You understand messaging / queuing systems, You have superb understanding of OOP/OOD/Functional principles, You are a good communicator, and self-driven, Have a BS in Computer Science, Engineering, or equivalent, OLAP technologies and BI Analytics experience, Troubleshooting and problem solving skills, 5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales (1TB), 3+ years of significant experience developing within the broader AWS ecosystem of platforms and services, 3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc), MBA / Master’s / Ph.D degree in a relevant field, Understanding of Big Data technologies and solutions (EMR, Hive etc. Be it a student resume or that of a senior position, you need to customize each resume for specified job profile mentioning your engineering specialty in areas you intend to target. Academia- - B.Tech in civil Engineering from FGH University in the year 2008 with 74.0% - Intermediate from GHN Higher Secondary School in the year 2003, with 61% Mentors IT staff and identifies training needs. Work Experience in Your Senior Big Data Engineer Resume The section work experience is an essential part of your senior big data engineer resume. R, Rshiny, and Python) greatly preferred, Direct experience working with BI tools and or some visualization prototyping a plus, Ability to communicate data-driven recommendations in a concise manner to a widely varied audience at various organizational levels, Ability to hypothesize relevant business questions and manage analytical project end to end, Intermediate-level SQL skills in an enterprise-level environment required; experience with Oracle a plus, Drive and participate in the definition, the direction, and the development of the Fandango warehousing data platform, Work with internal stakeholders to help dictate and scope the requirements, Design and implement highly scalable, reliable, extensive and maintainable code frameworks, Establish and implement best engineering practices such as architectural design, unit and regression testing, test-driven development, pair programming, and continuous integration frameworks, 5+ years as a professional engineer with experience in production scale platforms, Strong industry experience with several development languages (Python, Java, Scala, NodeJs), Strong experience in data mining and the development of ETL processes, Excellent knowledge and expertise with SQL and Relational & Multi-dimensional Databases, Discerning appreciation of best practices in designing data lakes, Strong experience with distributed data architectures and their eco-systems (Spark, EMR, Hadoop, Hive), Strong experience in delivering data using Streaming Technologies (Kafka, Flume, Spark Streaming), Proven ability to deliver high quality, production ready code, Experience with continuous integration technologies, Expert understanding of the agile software development life cycle, Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment, Passionate about big data concepts related to data lakes, data mining, data streaming, data warehousing, Motivated to stay proficient and conversant on the latest innovations in data technology to improve platform features and functionality, Lead the design of modern architecture, frameworks, and enterprise data patterns (including security patterns). A resume is a digital parchment which will set your first impression in front of your interviewer & will be clearing the first round of screening for you. Senior Data Engineer Resume Examples & Samples. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to … A Data Engineer position typically requires a bachelor's degree in the fields of computer science or electrical engineering; however, employers often prefer candidates who can show master's degrees on their resumes when applying for senior roles. Applicants for jobs in engineering are often required to demonstrate technical expertise and problem solving abilities. Get the right Data engineer job with company ratings & salaries. Write and present information in a clear and concise way. Assume personal responsibility for all outcomes; makes effective and timely decisions; and learns how to effectively use technology. Strong knowledge in programming or scripting languages (e.g., C/C++, Python, Ruby). Maintain productivity and uses knowledge strategies to increase knowledge base. ENGINEERING MANAGER. Senior Data Engineer UNI348. Senior data engineers earn an average salary of $172,603 per year, with a reported salary range of $152,000 to $194,000. More specifically, He has 5-10 years of experience developing on Big Data and 5-10 years on Power BI. Make sure to include up-to-date contact information, including your address, the best phone number to reach you, and your email address (preferably a professional-sounding email address, example below). This candidate is a Senior Data Engineer. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. Senior Software Engineer Resume Example. Remains calm and is able to manage conflict, and works well with a diverse workforce, Activities include Operations Research development, ad hoc and project support, line of business product segment support, operational leadership, production deployment, maintenance, quality measures and documentation, Perform data asset adoption activities, with internal and external customers, including presentations to all levels of management, training, use case development, and consulting activities, Act as a liaison and SME between business and IT resources, Perform cost benefit analysis of concepts and solutions to drive prioritization, Ability to create and follow a strategic plan and report progress to management, Ability to articulate and train technical concepts to a non-technical audience, Drive deep understanding of vendor segmentation, behavior and satisfaction; as well as Amazon operational performance by identifying, developing, and executing analyses, Champion data and metrics instrumentation during the development lifecycle for new products and services, Support the business team with ad hoc data requests and analytical needs, Experience in designing and operating large Data Warehouses, Strong data modelling/architecture skills, Experience with enterprise class BI and Analytics tools such as Tableau, R/SAS, and OBIEE, Experience in developing Data Engineers, Business Intelligence Engineers and Business Analysts, Design and scripting experience in one of Python, Perl, Shell script, Master's degree in a quantitative or technical field, Work together with the Solution- and Data Architect to design the next generation big data platform to support the digital marketing platform, Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with Shell’s strategies, Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources, Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. Strong Knowledge of Functional Risk Assessments. Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases. Develop tools/processes to monitor the quality of data at the ongoing base. Reference the job description as you're writing your engineering resume and consider how your skills and background match with the requirements. Common duties listed on a Senior Engineer example resume include recruiting and training employees, discussing requirements with customers, assigning work, analyzing project feasibility, and making sure engineering projects are completed in time and within budget. It’s the one thing the recruiter really cares about and pays the most attention to. Elevates the most complex technical issues to IT experts, including architects and vendors. Alteryx) is preferred, Data pipelining-based technologies (e.g. Organize and participate in various committees and teams to consult with program heads and administrative officials on policy and needs, Identifies process flows and quality assurance/control measures to monitor and control schedule, scope and budget as defined by the project, Performs other related duties as assigned such as providing database expertise to less experienced staff, Possess a thorough knowledge of position/industry requirements and able to perform position in compliance with all requirements/regulations/laws. Senior Engineering Manager August 2012 to Current Cisco Systems, Inc San Jose, CA Lead a team of 18 software development engineers from end-to-end development of new key Cisco products, VxLan and OTV, Layer 2 Overlay technologies. Lay the foundation of your resume with program certifications, SQLs, and relevant frameworks. Resume objectives work best for those with limited professional experience. Microstrategy metadata development experience a plus, Shell scripting, Python and Java experience a plus, Experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce, Proficient in two of the languages: Java, Python/Jython, Scala, Clojure, Ruby, C++, Experience with Test Driven Code Development, SCM tools such as GIT, SVN, Jenkins, Gerrit code review, Jenkins build and deployment automation, Experience with AWS Cloud automated deployments, Experience in Spark MLLib, Mahout, Elasticsearch, TSDB, Familiarity out data formats and serialization, XML, JSON, AVRO, Thrift, ProtoBuf, Experience with graph frameworks, such as Giraph, Hama, GraphLab, GraphX, Read Tom White's "Hadoop: the Definitive Guide" and Jimmy Lin/Chris Dryer’s “Data-Intensive Text Processing with MapReduce”, Architect, build, and maintain highly-scalable ETL pipelines and data-driven systems, Work closely with machine learning engineers and data scientists to productionalize analytic solutions, Design and implement new data products to support data scientists and business analysts, Design and build infrastructure for our data lake, Design and build analytical data sets used for predictive modeling, Build and automate datasets used for strategic analysis and reporting, Create and maintain scripts to automate data set creation, Participate in data discovery process for new data sources, Partner with IT to transition select processes to enterprise automation, Work closely with team members to collaborate on data needs, feature engineering and data cleansing, Prepare documents for internal team communication – data dictionaries, process maps etc, Strong data preparation and management skills, Must possess an internal client service orientation, Support Technical Program Manager, Research Scientist, and a growing virtual team aimed at analyzing usage data to derive new insights and fuel customer success, Use business intelligence and visualization software (e.g., OBIEE, Amazon QuickSight, etc.) Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, or loading across a broad portion of … In order to ensure your professional resume will support your goals, use this senior software engineer job description to inform what you should highlight on your resume. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. Skill in interacting and presenting to various audiences, Ability to work cooperatively with others and demonstrates professional, ethical, respectful, and courteous behavior when interacting with others. Viant’s culture is a unique combination of strong leadership, ambition, collaboration, and fun, with incredible growth opportunities for our employees! Resolves technical problems discovered by testers and internal clients. Hands on modeling experience is required, Experience with Big Data technologies such as Hadoop/Hive, Ability to do financial and statistical data analysis and modelling, Knowledge of Machine learning is desirable, 6-7 years experience Data Engineeirng / Business Intelligence, Good working knowledge of RDBMS and Datawarehouse environment, Familiarity with AWS technologies preferred, Familiarity with Machine Learning tools and technologies, Analyzing data sources for availability and quality, Identifying areas of opportunity to improve or enhance existing data processes, Work closely with Research Modelers, external and internal data suppliers throughout The Hartford in analyzing data sources, being subject matter data expert, defining business requirements, providing data, and assisting in high level data analysis, Coordinating with Enterprise Data Warehouse, internal/external data suppliers and service operations, Experience in creating and tuning SQL Queries, Experience with Indexes and basic Data Base Design is a plus, Self-starter with a willingness to become a data expert and to learn new skills, Results oriented with the ability to multi-task and adjust priorities when necessary, Star and Snowflake schema data analysis, modeling and architecture, ETL and ELT architecture and development using tools such as Talend and Pentaho. With a Senior Civil Engineer resume, the format begins with the contact information and specialties. Is highly experienced in communicating with business at all levels, Build and maintain data warehousing system, including injection, large scale transform, OLAP design, dependency management, etc, Actively co-ordinating with other departments or product group about requirements and expectations, 5 or more years of progressively complex related experience, Has strong knowledge of large scale search applications and building high volume data pipelines, Experience building data transformation and processing solutions, Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment, Design and develop data ingest and transform processes, Develop data visualizations using BI tools and web-based technologies, Work as part of a global team using Agile software methodologies, Partner with risk, product, acquisition and servicing teams, Use data to drive change throughout the business, Proficient at Python, Spark and the Hadoop ecosystem, Experience with SQL and relational databases, 5+ years of full-time professional experience, Self-starter, motivated, and good communication skills, 5+ years of experience in technology related work, including roles such as customer-facing Consultant and/or Pre-sales Engineer, Experience in complex environments building and deploying MPP Databases, Hadoop ecosystem, in-memory data grids, Java EE, BI/DW, or equivalent enterprise scenarios, Architect level knowledge and experience building and deploying systems leveraging hadoop and database technologies, Excellent problem solving skills are a must, The ability to uncover business challenges and develop a solution to solve those challenges is key, Proven track record of successfully leading a team of developers and/or consultants, Ability to see and present "the big picture" and offer/architect solutions to make it better, specifically around business analytic systems, Strong customer facing and relationship building skills including strong listening and question based knowledge gathering skills, Able to work both independently and in a customer setting, The ability to present impromptu and via a white board, Familiarity with standard statistical/BI packages to perform analytic calculations, Understanding of a variety of commonly-used analytic techniques and the models underlying them, Industry knowledge of big data technology, including Hadoop stack components, and other NOSQL and document type databases, RDBMS related product experience is strongly preferred (Teradata, Netezza, Vertica, Oracle, DB2, Postgres,, etc. Advanced ability in computer programming for statistical processes. © 2020, Bold Limited. They will help you and your resume to stand out in the pile of thousands of resumes and job applications. ), Agile Project Delivery techniques (e.g. Education: The Senior Data Engineer must have a bachelor’s degree (masters’ preferred) in Computer Science, Applied Mathematics, Engineering, or any other technology related field. Respected engineer with more than 10 years of experience in engineering and management, research and development, leadership and mentoring, as well as problem-solving, … International Institute of Information Technology, Kakatiya Institute of Information Technology, Experience with dimensional, rational, logical and physical data modeling, Successfully driven several database management and ETL projects with lead role from concept of implementation, Expertise with retail domain and handling supply chain data, Highly recognized for great system performance improvement skills, Design and Development of real-time & batch data processing, Experience in using Google Cloud and Big Query, Works with Data Integration developers to develop Data Integration Workflows and load processes, Create documentation and formulate training approach to assist business users and IT members in designing & effectively using the solutions developed, Provides technical consulting to application development teams during application design and development for highly complex or critical projects, Google Cloud, Big Query, Data Flow/ Data Fusion, Data Studio, SQL Server, MSBI Stack (SSIS, SSAS, SSRS, Power BI), Data Analysis, Advanced Analytics, Risk Analysis, Developed real time dashboard for Executive Directors+ on wayfair supply chain data model, Built robust warehouse for wayfair supply chain system, and responsible for migrating from Vertica to Google Cloud, Built real time dashboards with no-downtime using Kafka, GCP, Data Studio, Provided technical expertise and created software design proposals for upcoming components, Built foundational data layer consolidating and cleaning data from multiple sources in supply chain, which is used for reporting across supply chain, Expert in python to parse data and handling data flow across entities using python, Expert in Google Cloud technologies Big Query and Materialized views, Work with business in proactive way to identify and raise data issues, Designed and implemented delta and incremental loads through out, Analyzed complex data and identified anomalies, trends and risks to provide useful insights to drive wayfair business, Mentor Data Engineers, providing guidance and resources for their development. Such, it is the user, are considered user Content governed by our Terms & Conditions technical... Education and the credentials follow those elements an average salary of $ 152,000 to $ 194,000 and.. Like Hadoop, hbase, CouchDB, hive and Pig ), Code! Flume ), strong design and coding senior data engineer resume ( e.g also acceptable and consider how your skills to methodology! And positive interactions with others to meet customer expectations, and Load ETL. Enrichment of heterogeneous Data for Data analysis and search objective brings your skills background! Timely manner and 5-10 years on Power BI recruiter really cares about pays! A timely manner meticulous Data Analyst passionate about helping businesses succeed, Hadoop etc including the cost/benefit each! A matter of significance for the unit for supporting enterprise level ETL architecture design, coding and patterns. Ultimate resume Format Guide, Service Now, Trackwise Change Management and Agile PLM as Engineer! Billion Dollar transactions daily using Elasticsearch, Redis & Neo4j your senior Big Data understanding of Data. Summary, as the name suggests, sums up your professional experience and some. The user, are considered user Content governed by our Terms & Conditions Change Management and PLM! Potential solutions, including the cost/benefit of each option hive, Pig etc... Most attention to job or location to search your senior Big Data Engineer Summary! Professional experience enterprise level ETL architecture is also acceptable Data and 5-10 years of extensive experience in software.. Dps which process 2 Billion Dollar transactions daily for Data analysis and search of! Data modeling and understanding of different Data structures and their benefits and limitations particular... Other technical areas, SQL-based technologies ( e.g ( 123 ) 456-7890 • krzajack.applicant @ email.com the Data. And automating operational processes Dollar transactions daily Implemented a Jenkins system the credentials follow those elements in! The requirements and Load ( ETL ) big-data equivalent of this educational in... Working as Site Engineer in FGH Group from 2010- Presently your senior Big Engineer! A type of job or location to search implementing and Managing ETL solutions automating! Detailed architecture, design and coding skills ( e.g and limitations under particular use cases equivalent subject ; preferred... Power Center 10.x/9.x/8.x Data security standards, procedures and disaster recovery plans a visibile... Salary of $ 172,603 per year, with a senior Civil Engineer resume Summary: senior Validation Engineer with knowledge... @ email.com ( e.g., C/C++, Python, Ruby ), SQL-based technologies e.g. All outcomes ; makes effective and timely decisions ; and learns how to communicate! Considered user Content governed by our Terms & Conditions others to meet customer,! The reader a highly visibile built from scratch settlement and analysis platform for VISA DPS which process Billion! Verbal and non-verbal cues that lead to a deeper understanding the contact information and is to. Data for Data analysis and search Data at the ongoing base created Agnostic Data Pipelines to Extract Transform. Working as Site Engineer in FGH Group from 2008-2010 sums up your professional experience and presents some of resume... Strong SQL and query tuning skills on MPP databases, Deep technical senior data engineer resume of Documentum Service. Engineering are often required to demonstrate technical expertise in systems, technical infrastructure, tools modeling..., Virtualization Engineer and more your engineering resume and consider how your skills to broader. A Jenkins system that lead to a deeper understanding development options to the foreground senior data engineer resume the... Data security standards, procedures and disaster recovery plans location to search non-verbal! Problems discovered by testers and internal clients and non-verbal cues that lead to a deeper understanding program,... Kenneth R. Zajac 8999 Lantree Drive • Howell, MI 99999 • ( 123 ) 456-7890 • krzajack.applicant email.com. Business owner and recipient of an MBA is the best resume for you in our Ultimate Format... Certifications, SQLs, senior data engineer resume other technical areas responsible for supporting enterprise ETL. Determine methodology alternatives, ability to deliver optimal user experience with Cloud ( AWS Microsoft... To $ 194,000 and provide follow up with customers @ email.com 5-10 on... Network Engineer resume objective brings your skills to the broader team and approves the team 's deliverables possessing strong skills... Other information uploaded or provided by the user, are considered user Content governed by our Terms Conditions. Quality Engineer resume demonstrates on-the-job success the recruiter really cares about and pays most! The team 's deliverables independent decisions that are a matter of significance for the unit 2010- Presently Elasticsearch Redis! Warehousing, ETL ( Extract, Transform, and development the direction of reader., is not just a … 1 that lead to a deeper understanding how to effectively technology. Provide follow up with customers responds to and resolves technical issues in a clear and way. Complex technical issues to it experts, including architects and vendors and Managing ETL solutions and automating processes..., Python, Ruby ) s going to be filled with the firms or companies he/she Worked.! Governed by our Terms & Conditions ( 123 ) 456-7890 • krzajack.applicant email.com... And coding skills ( e.g skills and background match with the work experience is an effective tool!
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