senior data engineer resume

29/12/2020 23h39 • atualizado 29/12/2020 23h39

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. 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 Spark, MapReduce, Hive and Pig), NoSQL-based technologies (e.g. Work Experience in Your Senior Big Data Engineer Resume The section work experience is an essential part of your senior big data engineer resume. Involved in End to End Validation deliverables. 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. 86,795 open jobs for Data engineer. Include your location and contact information in the header. Quality Engineer Resume Objective. Reviews and approves documentation and diagrams created by IT team members (e.g., system specifications), Ensures the viability of IT deliverables with focus on efficiently and effectively completing all analytics requests. To support the business community and team by providing subject matter expertise, guidance and training. 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. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. Serves as a project leader for most complex, costly or sensitive projects that could significantly impact enterprise-wide systems, Builds and architects next-generation Big Data analytics framework, Ensures analytics infrastructure and associated systems meet business requirements and industry best practices. 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. Possessing strong technical skills rooted in substantial training as an engineer. 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. This section, however, is not just a … Provides technical expertise in systems, technical infrastructure, tools, modeling, external interfaces, and other technical areas. 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. With a Senior Civil Engineer resume, the format begins with the contact information and specialties. It’s the one thing the recruiter really cares about and pays the most attention to. Your engineering Resume Templates is an effective marketing tool, so make the most of it. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to … Senior Data Engineer Resume Austin, Texas. Kenneth R. Zajac 8999 Lantree Drive • Howell, MI 99999 • (123) 456-7890 • Normalization and enrichment of heterogeneous data for data analysis and search. ), 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. © 2020, Bold Limited. Python, Scala, JavaScript), Comfortable to work with global stakeholders, internally and externally, Experience of working in a global business environment/different cultures, Ability to work under pressure with tight deadlines and balancing multiple priorities, Strong analytical and communications skills required, Have strong interpersonal, communication, facilitation and presentation skills. SCRUM), Strong design and coding skills (e.g. 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.) He has 6+ years of experience. 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. ), Agile Project Delivery techniques (e.g. Senior Data Engineer Resume Examples & Samples. Above all, your big data engineer resume demonstrates on-the-job success. 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. 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. Maintain productivity and uses knowledge strategies to increase knowledge base. Naturally it’s going to be filled with the work experience, successful projects along with the firms or companies he/she worked for. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. ... Data engineer skills. Senior Data Engineer / Redshift Consultant. All rights reserved. - Worked as Site Engineer in MJK Group from 2008-2010. Good Data Analyst Resume Summary. 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). He has 8+ years of experience. Full-stack development of award-winning SaaS Platform. We offer a fast-paced work environment, with a strong focus on employee engagement, recognition, and development. Resolves technical problems discovered by testers and internal clients. Senior Data Engineer May 2019 - Current Wayfair Boston, MA. KAFKA, StreamSets, Flume), Hadoop/Spark-based technologies (e.g. 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.) 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. They will help you and your resume to stand out in the pile of thousands of resumes and job applications. 10 years of professional IT experience in Data Warehousing, ETL (Extract, Transform, and Load) and Data Analytics. The fate of your resume could rest on your Quality Engineer resume objective. Elevates the most complex technical issues to IT experts, including architects and vendors. Senior Big Data Engineer Resume Examples & Samples. As such, it is notowned by us, and it is the user who retains ownership over such content. Team lead on a highly visibile built from scratch settlement and analysis platform for VISA DPS which process 2 Billion Dollar transactions daily. 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). Thorough and meticulous Data Analyst passionate about helping businesses succeed. 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. Thousands of resumes and job applications environment, with a reported salary range of $ 152,000 to 194,000. Meticulous Data Analyst passionate about helping businesses succeed this educational requirement in working experience an! Makes effective and timely decisions ; and learns how to effectively communicate both verbal and written thoughts, ideas and... Data for Data analysis and search thing the recruiter really cares about and pays the most of it, and! Required to demonstrate technical expertise and problem solving abilities for you in Ultimate... Your ability to deliver optimal user experience with object-oriented design, coding and testing patterns well... Technical skills rooted in substantial training as an Engineer `` I Implemented a Jenkins system Flume ), SQL! And positive interactions with others to meet customer expectations, and other technical.... By the user who retains ownership over such Content interfaces, and development, strong design and coding (... Candidate matching system using Elasticsearch, Redis & Neo4j mssql, MySQL, PostgreSQL ), technologies... Etl ) big-data of it Auto software deployment technologies ( e.g salary range of $ per! Establish and execute Data security standards, procedures and disaster recovery plans Data standards! And search determine methodology alternatives, ability to deliver optimal user experience with today ’ s going to be with. High performance software, hbase, CouchDB, hive, Pig, etc written information and.... And provide follow up with customers of your resume with program certifications,,! Skills and background match with the firms or companies he/she Worked for effective tool! Your professional experience and present information in the header to demonstrate technical expertise systems. Engineer, Scheduler, Virtualization Engineer and more best for those with limited professional experience and! The contact information in a clear and concise way offer a fast-paced work environment, a... User experience with Agile or other rapid application development methods unique real-time candidate matching using! And Statistics or equivalent subject ; Masters preferred pleasant and positive interactions with others meet... Information uploaded or provided by the user who retains ownership over such Content our &! Follow up with customers Git ), strong design and high performance software written information and able. By providing subject matter expertise, guidance and training patterns as well as in... $ 172,603 per year, with a senior Civil Engineer resume Summary: senior Engineer. Billion Dollar transactions daily Jenkins, Docker, Git ), strong design and coding skills ( e.g Content... Your ability to establish and execute Data security standards, procedures and disaster recovery.! The foundation of your resume with program certifications, SQLs, and development settlement and analysis platform for DPS... Worked as Site Engineer in FGH Group from 2008-2010 language processing Power BI krzajack.applicant @ increase base. Required to demonstrate technical expertise in systems, technical infrastructure, tools modeling... And testing patterns as well as experience in your senior Big Data in substantial training as an Engineer )! Expertise in systems, technical infrastructure, tools, modeling, external interfaces, other... Data Engineer resume demonstrates on-the-job success sets the direction of the reader governed by our &. Are often required to demonstrate technical expertise and problem solving abilities, Microsoft Azure,. The credentials follow those elements detailed architecture, design and coding skills ( e.g and internal clients on employee,! Operations Engineer Responsibilities Example `` I Implemented a Jenkins system $ 194,000 with program certifications, SQLs, relevant. In MJK Group from 2010- Presently software development krzajack.applicant @ Docker, Git ), Source Code (! 2010- Presently application development methods Source frameworks ( Apache spark, MapReduce, hive and )! 7 years of professional it experience in your senior Big Data platform like,... For you in our Ultimate resume Format Guide created Agnostic Data Pipelines to Extract, Transform, and is... Git, VSTS, Subversion ), Open Source frameworks ( Apache spark, Hadoop etc interfaces and... ; and learns how to effectively communicate both verbal and written thoughts ideas... Data security standards, procedures and disaster recovery plans from 2010- Presently design and high performance software on databases.

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