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senior data engineer resume

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. Bad Data Analyst Resume Summary. As such, it is notowned by us, and it is the user who retains ownership over such content. Strong Knowledge of Functional Risk Assessments. Naturally it’s going to be filled with the work experience, successful projects along with the firms or companies he/she worked for. Find out what is the best resume for you in our Ultimate Resume Format Guide. 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. Senior Data Engineer Resume Austin, Texas. With a Senior Civil Engineer resume, the format begins with the contact information and specialties. An equivalent of this educational requirement in working experience is also acceptable. MSSQL, MySQL, PostgreSQL), Auto software deployment technologies (e.g. It’s the one thing the recruiter really cares about and pays the most attention to. Jenkins, Docker, Git), Experience with Cloud (AWS, Microsoft Azure), Source Code Control (e.g. 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. 7 years of extensive experience in Informatica Power Center 10.x/9.x/8.x. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. Able to make independent decisions that are a matter of significance for the unit. Senior Data Engineer / Redshift Consultant. Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig, etc. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage within Analytics teams, Work in an Agile environment for Rapid Labs execution within 90-120 days, University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics), Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. 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. Thoroughly understands and complies with Information Security policies and procedures, and verifies deliverables meet Information Security requirements, Advanced knowledge of the following: Python, Scala, SQL, AWS, Hue, Impala, Hadoop, Spark, Adobe Analytics, Extensive experience using a variety of data sources including demographic data, transaction tables, and web logs, Experience with: Oracle, IBM DB2, Microsoft Sequel Server, Hadoop and Federation technologies preferred, Use analytical skills to review, interpret and take action on a variety of daily reports related to the processing of client rewards, Functional programming familiarity (R, Python), Familiarity with / exposure to basic functional languages, (i.e. Senior Big Data Engineer Resume Examples & Samples. 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. References, education and the credentials follow those elements. Full-stack development of award-winning SaaS Platform. Network engineer resume objective brings your skills to the foreground and shows the recruiter why you’re a perfect candidate. Provides technical expertise in systems, technical infrastructure, tools, modeling, external interfaces, and other technical areas. KAFKA, StreamSets, Flume), Hadoop/Spark-based technologies (e.g. 3 years as Lead Developer, responsible for supporting enterprise level ETL architecture. The Data Engineer will also be required to draft regular performance and progress reports and prepare presentation for senior data engineering management and senior data science leadership, reports that have to be clear, concise, engaging, and convincing, which will require exceptional communication skills to deliver. 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. He has 6+ years of experience. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Git, VSTS, Subversion), Open Source Frameworks (Apache Spark, Hadoop etc. Kenneth R. Zajac 8999 Lantree Drive • Howell, MI 99999 • (123) 456-7890 • krzajack.applicant@email.com. This includes providing proper documentation and generating data features required for modelling, reporting and adhoc analysis, Collaborate with GRM Analytics key stakeholders and partners to define data engineering, data visualization and technical training best-practices for Rapid Labs, Maintain a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. 7. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to … Experience with agile or other rapid application development methods. Deep knowledge in data mining, machine learning or natural language processing. 10 years of professional IT experience in Data Warehousing, ETL (Extract, Transform, and Load) and Data Analytics. Responds to and resolves technical issues in a timely manner. Good Data Analyst Resume Summary. Demonstrated computer and analytic skills to determine methodology alternatives, Ability to effectively communicate both verbal and written thoughts, ideas, and facts. Respected engineer with more than 10 years of experience in engineering and management, research and development, leadership and mentoring, as well as problem-solving, … Advanced ability in computer programming for statistical processes. Reference the job description as you're writing your engineering resume and consider how your skills and background match with the requirements. Resolves technical problems discovered by testers and internal clients. Ability to lead complex database projects. Pentaho is a strong preference, Strong SQL and query tuning skills on MPP databases, Deep technical knowledge of columnar database technologies. 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. 1. The best big data engineer resume highlights your Hadoop skills and your NIL-error accuracy. Please provide a type of job or location to search! They will help you and your resume to stand out in the pile of thousands of resumes and job applications. ... Data engineer skills. Former small business owner and recipient of an MBA. Perform spot checks to monitor work quality, Responsible for architecture to development of end to end data warehouse application for Mindshare, Create documentation and formulate on boarding process of DRAW application to stake holders, Migrated existing application from SQL 2008 to SQL 2012 and improved performance by 60% and security, Created SSAS cube and Tabular models using star schema, Built C# application to use Predictive Algorithm ‘Microsoft Solver Foundation' for driving business decisions on client budget allocation, Built robust system and database with best coding practices and to accommodate future change requests, Started introducing Big Data and cloud technologies, built proof of concept model in migrating data to Big Data, Support existing ETL and data loading process, Help team with Power BI technical learnings, Create DAX and VB scripts for Excel reporting and calculated members, Create understanding and guidelines documents for business users, Complete deployment to production and verification, Develop Excel PowerView, PowerQuery and PowerPivot dashboards for data analysis, Use SSIS for data processing on daily basis and automation, Deployed SSIS packages to Automic UC4 tool, for automation and scheduling, Create tabular SSAS cubes for fast retrieval of data, Understand legacy OBIEE reports, and coming up with data points, Re write complete legacy OBIEE reports in new technology using PowerPivot and tabular models/ SSRS reports, Use SharePoint for maintaining reports, documents and project details, Development of data warehousing and reporting solutions from multiple sources including DART, Vizu, Facebook, Kenshoo, Mediamind, Pointroll and others, Proposed new solutions for optimizing report refresh times, Lead the module of migrating databases from SQL 2008 to SQL 2012 along with SSIS packages and catalog system, Conducted training sessions and knowledge transfers to new team members, Developed Excel PowerView and PowerPivot reports for data analysis, Created Coded UI solutions for daily refreshing of Excel files from source, Scheduled Coded UI solutions from windows task scheduler, Implemented slowly changing dimension Type 1 and Type 2, Experience in migrating databases from on premises systems in to windows Azure SQL database, Experience in working with Azure SQL database, Responsible for Defining Mapping parameters and variables and Session parameters according to the requirements and performance related issues, Extensive usage of SQL Profiler and Analytics for query optimization and maintenance, Created Reporting database from mart which contains separate tables as per chart needs, Understand requirements and come up with data warehouse architecture to build robust reporting platform, Involved in performance tuning of tabular models, Worked on UI technologies .Net, SharePoint, HTML, JavaScipt and CSS, Involved in DBA tasks like replicating database, maintaining server configurations and database tuning, Implemented Cube Security, Row level security, ETL mails, Created tabular models with dynamic partitions, Scheduled daily refresh jobs from SQL Server agent, and provided support in case off ETL failure, Provided support to down streams regularly who are using reports, Implementing slowly changing dimensions to maintaining Historical data in required dimension table, Microsoft SQL Server 2012: Querying Microsoft SQL Server 2012 (70-461), Microsoft SQL Server 2012: Administering Microsoft SQL Server 2012 Databases (70-462), Microsoft SQL Server 2012: Implementing a Data Warehouse with Microsoft SQL Server 2012 (70-463), Microsoft SQL Server 2012: Implementing a Data Models and Reports with Microsoft SQL Server 2012 (70-466), Microsoft SQL Server 2012: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 (70-467), Programming in HTML5 with JavaScript and CSS3 (70-480), Microsoft SQL Server 2008: Database Development (70-433), Microsoft SQL Server 2008: Business Intelligence Development and Maintenance (70-448), Developing Windows Azure and Web Services (70-487), Developing Microsoft SharePoint Server 2013 Core Solutions (70-488), Master of Science : Information Technology May 2012. 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 … Translates complex functional and technical requirements into detailed architecture, design and high performance software. Team lead on a highly visibile built from scratch settlement and analysis platform for VISA DPS which process 2 Billion Dollar transactions daily. It proves your ability to deliver optimal user experience with today’s technology. Applicants for jobs in engineering are often required to demonstrate technical expertise and problem solving abilities. Possessing strong technical skills rooted in substantial training as an engineer. 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. Viant’s culture is a unique combination of strong leadership, ambition, collaboration, and fun, with incredible growth opportunities for our employees! Strong knowledge in programming or scripting languages (e.g., C/C++, Python, Ruby). Reaches compromise and consensus to influence and negotiate. Senior Data Engineer, 04/2015 to Current Visa Inc – Denver, CO. Your engineering Resume Templates is an effective marketing tool, so make the most of it. More specifically, He has 5-10 years of experience developing on Big Data and 5-10 years on Power BI. Assume personal responsibility for all outcomes; makes effective and timely decisions; and learns how to effectively use technology. - Worked as Site Engineer in MJK Group from 2008-2010. Search Data engineer jobs. 86,795 open jobs for Data engineer. Involved in End to End Validation deliverables. ), Agile Project Delivery techniques (e.g. Interpret and understand written information and is able to listen attentively to verbal and non-verbal cues that lead to a deeper understanding. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures.

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