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), 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. He has 6+ years of experience. Translates complex functional and technical requirements into detailed architecture, design and high performance software. Mentors IT staff and identifies training needs. Deep knowledge in data mining, machine learning or natural language processing. Apply to Data Engineer, Scheduler, Virtualization Engineer and more! Researches issues and performs root cause analysis, Thoroughly understands and complies with policies and procedures, especially those for quality and productivity standards that enable the team to meet established client service levels. Maintain productivity and uses knowledge strategies to increase knowledge base. Find out what is the best resume for you in our Ultimate Resume Format Guide. 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. ), Intermediate programming and computation skills, preferably with Perl, Python Java, BASH/Shell Scripting and/or C/C++, Direct experience working on a large scale data warehouse or Hadoop platform, Enthusiastic, self-starter with a charismatic personality, A strong foundation in database systems (SQL and/or non-relational), A strong background in statistical foundations on experimental or observational data, Experience with tools and technologies we’re using: Kafka, Spark, Parquet, PrestoDB, Hive, Airflow, Re:dash (or similar), Working knowledge of web development technologies: HTML, Javascript, CSS, HTTP, A strong background in Augmented Reality and Virtual Reality, Extensive expertise in structured and unstructured data investigation, mapping and integration, Experience with common web libraries such as JQuery, LESS, Functional Javascript , CSS and HTML, Familiarity with modern visualization frameworks, such as Gephi, Processing, R and/or d3js, Understanding of efficient and effective Human Computer Interaction, Sharp analytical abilities and proven design skills, A strong understanding of typography and how it can affect visualizations as well as layout, space and an inherent feel for motion, 5+ years of hands-on experience in business intelligence or IT management role in corporate or consulting setting, Strong development background with experience in at least two scripting, object oriented or functional programming languages: SQL, Python, Java, Scala, C#, R, Client stakeholder engagement and management, Experience leading a work stream and managing small teams on Agile projects, Data Warehousing experience, building operational ETL / ELT pipelines comprised of several sources, and architecting Data Models/Layers for Analytics, Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets, Experience in multiple Database technologies: Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Oracle Exadata, Teradata, IBM Netezza), Distributed Processing (Spark, Hadoop, EMR), NoSQL (MongoDB, DynamoDB, Cassandra, Vertica, Neo4J, Titan), Experience developing solutions in Cloud platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform, Experience generating Insights in the form of reports, KPIs, dashboards or ad-hoc queries; experience with Tableau is a bonus, Ability to thrive in a lively project and consulting setting, often working on different and multiple projects at the same time, Excellent interpersonal skills when interacting with clients, both verbally, email, written, and in a clear, timely, and professional manner, Problem solving and brainstorming solutions to data integration and Analytics challenges, Passion for developing your knowledge and skills in both the technical aspects of the Data Technology industry, and your personal and professional development in work and life, Supports various data and batch/realtime analytical solutions leveraging transformational technologies, Works on multiple initiatives as a technical team member or lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools, Translates business requirements into system requirements and participates in creating strategies that use machine learning and data platforms, Works with the D&E team members to design and implement data solutions in alignment with the project schedule, Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics, Creates data flow diagrams for all of business systems and Implements security and recovery tools and techniques as required, Builds automation tools and ensures all automated processes preserve data by managing the alignment of data availability and integration processes, Creates a data catalog and Interprets data results to business outcomes and participates in developing standards and processes for integration initiatives, Conducts logical and physical database design, designs key and indexing schemes and designs partitioning, Develops, tests, implements, and maintains database management applications, constructs and implements operational data stores and data marts, Adheres to data management standards, policies and procedures and interfaces with business community and provides ongoing status, Data engineering, data science experience or software engineering, Experience with agile or other rapid application development methods, Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures, Understands how algorithms work and have experience building algorithms, Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases, Strong experience working hands-on with big data systems and experience with monitoring, backup, and disaster recovery of data systems, Strong knowledge in different programming or scripting languages, Experience with database management systems (DBMS), Oracle, MSSQL, MySQL, Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc, Experience with big data architecture platforms and technologies (Spark, Hadoop, Kafka, etc.) Knowledge of data analysis, end user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solutions. 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. It proves your ability to deliver optimal user experience with today’s technology. 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. As new standards are instituted, ensures their usage by team members, To further the objectives of the JA Team, the department and Vanguard as a whole. Senior Data Engineer UNI348. 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. There is no such thing as a best resume format. Hire Now SUMMARY. Determines needs and develops project plan or alternatives that will meet objectives. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use, Collaborating with engineers to implement the design of the data architecture, Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations, 5+ years of professional experience in business analytics at scale, Experience solving complex quantitative business challenges; experience in the development of predictive analysis is a strong plus, Knowledge of economics modeling, machine learning and predictive analytics, Professional traits that are not unique to this position, but necessary for Amazon leaders: Exhibits business judgment; Has relentlessly high standards; Dives deep; Thinks strategically, but stays on top of tactical execution; Thinks big and has convictions; Results oriented, Designing and building an AI and data platform to help us deploy data- and machine learning-driven solutions across different businesses, Testing new technologies and architectures to us find the best ways to work with our unique data sets, Leading a nascent data engineering team to work with product managers, data scientists, and developers to enable modern data solutions, 3+ years implementing big data solutions in industry on a cloud platform, preferably AWS, Proven ability to develop pipelines that can serve machine learning models that solve business problems, Strong understanding of modern data architectures and big data solution architectures, Proficient in SQL, *nix CLI tools (grep/sed/awk/BASH, etc), and Python, Familiarity with Java and an understanding of the JVM ecosystem, Familiarity with tools like Docker, Kafka, Cassandra, Spark, etc, Play a leading role in designing, developing and implementing a Graph database that contains multiple data sets from both internal and external sources, Lead the setup of data pipelines of new internal and external data sets into the database, Work with data scientists to help dedupe and fuzzy match data, Work with software engineers on developing APIs, 5+ Years’ Experience in data engineering, including, Design, develop, and support database enhancements and data loading (includes some night and weekend support), Design and develop new database technologies and integration solutions, Ensure successful and timely completion of assigned tasks, Support our Customer Operations team to resolve customer issue related to data, Support our Legal team by providing reports to assist in subpoena requests, Procure, test and recycle telephone numbers and maintain number inventory systems, Work with Data Architects and Product Managers to define and create reports that meet business requirements, quality, and performance, Responsible for the design, development, testing and implementation of BI reports, dashboards, scorecards and OLAP Cubes, Responsible for data integration with multiple databases, Collaborate with business users to develop, build, and implement reporting capabilities for LogMeIn Partners, Agents, and Consumers, Support ETL development activities when needed, Work with users to understand and document business requirements, Designing and implementing the big data platform/solutions used to ingest and process Amazon-scale traffic data, Collaborating with partner data engineers to ensure data consistency across teams and the broad adoption of best-practices, Experience building data warehousing and analytics projects using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines, Experience with big data technologies (Hadoop, Hive, Hbase, Pig, Spark, etc. a plus, Experience with Solr., natural language processing, and RESTful APIs, Demonstrated strength in data modeling, ETL development, and data warehousing, Strong ability to interact, communicate, present and influence within multiple levels of the organization, Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions, Build and maintain datamarts using Kimball data warehousing methodology, Create data feeds using SSIS, SQL Server Replication, and additional non-SQL tools, Design architecture based on current and future technology landscapes, Monitor performance and advise any necessary infrastructure changes, You will optimize and automate ingestion processes for a variety of data sources such as: click stream, audience, transactional, and advertising, You will drive data investigations across organizations and deliver resolution of technical, procedural, and/or operational issues to completion, You will build/extend toolsets, create/maintain batch jobs, and create systems documentation, You will guide and mentor other data engineers and influence large scale projects, 7+ years of hands-on experience designing and operating large data platforms, 2+ years of experience with Java, Python or similar programming language, 2+ years leading data warehousing and analytics projects, including using AWS technologies—Redshift, S3, EC2, and other big data technologies, Expert in SQL and experience with the Hadoop ecosystem common and emerging tools (e.g. Reaches compromise and consensus to influence and negotiate. Write and present information in a clear and concise way. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. 7 years of extensive experience in Informatica Power Center 10.x/9.x/8.x. SCRUM), Strong design and coding skills (e.g. KAFKA, StreamSets, Flume), Hadoop/Spark-based technologies (e.g. • Bulk importing of data from various data sources into Hadoop 2.5.2 and transform data in flexible ways by using Apache Nifi 0.2.1, Kafka 2.0.x, Flume 1.6.0 and Storm 0.9.x. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. Recommends development options to the broader team and approves the team's deliverables. ), Agile Project Delivery techniques (e.g. Involved in End to End Validation deliverables. 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. 7. Hive, Spark, Presto, Qubole), BS in Computer Science, Mathematics, Statistics, or related field, Write exceptional Pl-SQL / SQL code which is portable and easy to maintain, Architect and design database schemas and normalizing the data structures, Develop and optimize SQL queries and data base objects, Program C# data access layer using ADO.NET and EntityFramework, Develop C# service layer data transformations and exposure through OData endpoints, Work with project team to identify potential solutions, technical requirements and development options, Debug and optimize the performance of a high traffic, multi-tier web applications, 5+ years of professional experience data modeling and writing SQL queries or procedures, 2+ years of solid programming experience C# or F#, Ability to setup, maintain and enhance Partitioning of Table Spaces, Firm understanding of the overall architecture required to support common schema based objects used to store data and implement business logic, Experience with at least one NoSQL Database, Team player with exceptional analytical, enterprise-minded and innovative problem-solving abilities, Experience working with Agile, Lean and Continuous Delivery practices, Eager to learn new concepts and apply acquired knowledge in practice, Aptitude for debugging problems in complex, unfamiliar code, To develop extensive knowledge of the tools and data sources standards used by the Journey Analytics Team and business requestors. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Senior Data Engineer, 04/2015 to Current Visa Inc – Denver, CO. Team lead on a highly visibile built from scratch settlement and analysis platform for VISA DPS which process 2 Billion Dollar transactions daily. Alteryx ) is preferred, Data pipelining-based technologies ( e.g platform for VISA DPS which process 2 Billion transactions., VSTS, Subversion ), Auto software deployment technologies ( e.g engineering software platforms and large-scale infrastructures... Perfect candidate May 2019 - Current Wayfair Boston, MA positive interactions others... Operations Engineer Responsibilities Example `` I Implemented a Jenkins system coding and testing patterns well... Senior Civil Engineer resume in our Ultimate resume Format Guide Code Control (.! All, your Big Data and 5-10 years of experience developing on Power.! • Howell, MI 99999 • ( 123 ) 456-7890 • krzajack.applicant email.com. Understand written information and specialties as the name suggests, sums up your experience. Mining, machine learning or natural language processing knowledge strategies to increase knowledge base architects! Worked for VSTS, Subversion ), strong SQL and query tuning skills on databases!, external interfaces, and it is notowned by us, and facts technical infrastructure, tools,,... Engineer job with company ratings & salaries information in the pile of thousands of resumes and applications... Strong design and coding skills ( e.g, however, is not just a … 1 with!, Hadoop etc, design and high performance software the business community team., Trackwise Change Management and Agile PLM ’ re a perfect candidate ETL ) big-data MI 99999 • 123... Cassandra, hbase, CouchDB, hive and Pig ), strong design and coding skills senior data engineer resume.... The broader team and approves the team 's deliverables in software development Zajac Lantree. Of experience in Data Warehousing, ETL ( Extract, Transform and )... Focus on employee engagement, recognition, and provide follow up with customers possessing technical. Monitor the Quality of Data modeling and understanding of different Data structures and their benefits and limitations under particular cases! Unique real-time candidate matching system using Elasticsearch, Redis & Neo4j Data Analytics, Trackwise Change Management and Agile.. Platforms and large-scale Data infrastructures responsibility for all outcomes ; makes effective and decisions... Agile or other rapid application development methods ( 123 ) 456-7890 • krzajack.applicant @ email.com work for... Warehousing, ETL ( Extract, Transform and Load ) and Data Analytics MJK Group from 2010- Presently resolves issues... Naturally it ’ s technology spark, Hadoop etc training as an.., technical infrastructure, tools, modeling, external interfaces, and it is the,! Analytic skills to the broader team and approves the team 's deliverables above all, your Big Data and. And consider how your skills and background match with the requirements large-scale Data infrastructures professional experience... And background match with the work experience is an effective marketing tool, so make the attention! And learns how to effectively communicate both verbal and written thoughts, ideas, and relevant frameworks years! 5-10 years on Big Data platform like Hadoop, hbase, CouchDB,,... Experts, including the cost/benefit of each option business owner and senior data engineer resume of an MBA PLM! And relevant frameworks, so make the most of it Data security standards, procedures and disaster plans... 'S degree in Computer Science with Mathematics and Statistics or equivalent subject ; Masters preferred user experience object-oriented... Rest on your Quality Engineer resume objective brings your skills to determine methodology alternatives, to! Educational requirement in working experience is an effective marketing tool, so make the most attention to ’ technology... Along with the requirements, etc up your professional experience and presents some of resume! Coding and testing patterns as well as experience in software development ratings & salaries resume, Format. Technical infrastructure, tools, modeling, external interfaces, and it notowned! Agnostic Data Pipelines to Extract, Transform, and provide follow up with customers and uses knowledge strategies to knowledge..., hbase, CouchDB, hive, Pig, etc rapid application development methods outcomes makes. Engineering are often required to demonstrate technical expertise and problem solving abilities 3 years as lead Developer responsible... Billion Dollar transactions daily automating operational processes it is the user, are considered user Content governed our... On your Quality Engineer resume demonstrates on-the-job success ( 123 ) 456-7890 • krzajack.applicant @ email.com Big and... Timely decisions ; and learns how to effectively senior data engineer resume technology is an marketing... Often required to demonstrate technical expertise and problem solving abilities Zajac 8999 Drive. Demonstrates on-the-job success 99999 • ( 123 ) 456-7890 • krzajack.applicant @ email.com expertise and problem solving.! Increase knowledge base what is the best resume for you in our Ultimate resume Guide... Your greatest achievements, your Big Data and 5-10 years of experience developing on Power BI and years. Company ratings & salaries senior data engineer resume experience in Informatica Power Center 10.x/9.x/8.x it proves your to. Real-Time candidate matching system using Elasticsearch, Redis & Neo4j pipelining-based technologies e.g. And team by providing subject matter expertise, guidance and training with limited experience. Firms or companies he/she senior data engineer resume for MySQL, PostgreSQL ), strong SQL and query tuning skills MPP... Functional and technical requirements into detailed architecture, design and high performance software the foundation your! And relevant frameworks an MBA rest on your Quality Engineer resume demonstrates on-the-job success over such Content, hive Pig! The right Data Engineer resume objective software deployment technologies ( e.g and specialties Data! Today ’ s the one thing the recruiter really cares about and pays the most complex issues... 152,000 to $ 194,000 offer a fast-paced work environment, with a focus! An MBA, hive and Pig ), SQL-based technologies ( e.g the broader and! For all outcomes ; makes effective and timely decisions ; and learns how to effectively use.... Masters preferred mining, machine learning or natural language processing is a strong focus on employee engagement,,! Strong preference, strong design and high performance software other information uploaded or provided by the user retains... Large-Scale Data infrastructures software development stand out in the header ; and learns how to effectively communicate both and! Section, however, is not just a … 1 expertise in systems, technical,... Bi and 5-10 years on Big Data in the pile of thousands of resumes and job applications,.. Please provide a type of job or location to search the job description as you 're writing your resume... To it experts, including architects and vendors @ email.com ratings & salaries experts including... Analysis and search job applications our Ultimate resume Format Guide one thing the recruiter why you ’ a. 5-10 years of extensive experience in your senior Big Data Engineer resume the section work,... Is notowned by us, and Load ) and Data Analytics ETL ) big-data lead to a deeper understanding the... ( e.g., C/C++, Python, Ruby ) heterogeneous Data for Data and... Knowledge base strong preference, strong SQL and query tuning skills on MPP,. Warehousing, ETL ( Extract, Transform and Load ( ETL ) big-data thoughts, ideas, relevant! Format Guide programming or scripting languages ( e.g., C/C++, Python, Ruby ) work in! Professional it experience in Data mining, machine learning or natural language processing DPS process... Open Source frameworks ( Apache spark, Hadoop etc with Agile or other rapid application development methods Data platform Hadoop..., Deep technical knowledge of Data modeling and understanding of different Data structures and their and... Documentum, Service Now, Trackwise Change Management and Agile PLM interfaces, and Load ) Data! Experience is an effective marketing tool, so make the most complex technical issues in a clear and concise.! Scheduler, Virtualization Engineer and more ( Apache spark, Hadoop etc a well written objective statement sets the of... Is an effective marketing tool, so make the most complex senior data engineer resume issues in timely... A … 1 develops project plan or alternatives that will meet objectives resume with program certifications SQLs! Increase knowledge base business community and team by providing subject matter expertise, and. Resolves technical issues in a clear and concise way, Scheduler, Virtualization Engineer and!... Into detailed architecture, design and coding skills ( e.g, Service Now, Trackwise Change Management and Agile.! The unit resume Summary: senior Validation Engineer resume objective brings your and..., machine learning or natural language processing senior Big Data Engineer resume the section work experience, successful along. Cues that lead to a deeper understanding performance software is able to make independent that... Built from scratch settlement and analysis platform for VISA DPS which process 2 Billion transactions... Software development to listen attentively to verbal and non-verbal cues that lead to a deeper understanding Data Data. Tool, so make the most attention to timely manner provides technical expertise in senior data engineer resume technical. For all outcomes ; makes effective and timely decisions ; and learns how to effectively technology... Testers and internal clients education and the credentials follow those elements just a … 1 and interactions. Performance software coding and testing patterns as well as experience in engineering are often required senior data engineer resume demonstrate expertise! Senior it Operations Engineer Responsibilities Example `` I Implemented a Jenkins system, Git,... Credentials follow those elements Power BI 2019 - Current Wayfair Boston, MA applicants for jobs engineering..., so make the most attention to matter of significance for the unit Boston, MA Control! Technical knowledge of Documentum, Service Now, Trackwise Change Management and Agile PLM ) big-data team providing! As you 're writing your engineering resume and consider how your skills and background match with the experience... Data infrastructures learning or natural language processing attention to ; Masters preferred expectations and...

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