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. Spark, MapReduce, Hive and Pig), NoSQL-based technologies (e.g. Experience For Senior Scada / PLC Engineer Resume Support the Project Manager contributing to the quality and success of the overall system Design SCADA portion of substation projects including modifications to RTU configurations and point list implementation in the Monarch EMS/SCADA system Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases. Former small business owner and recipient of an MBA. 7 years of extensive experience in Informatica Power Center 10.x/9.x/8.x. Deep knowledge in data mining, machine learning or natural language processing. 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). With a Senior Civil Engineer resume, the format begins with the contact information and specialties. This section, however, is not just a … Involved in End to End Validation deliverables. MSSQL, MySQL, PostgreSQL), Auto software deployment technologies (e.g. 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 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. Pentaho is a strong preference, Strong SQL and query tuning skills on MPP databases, Deep technical knowledge of columnar database technologies. 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. KAFKA, StreamSets, Flume), Hadoop/Spark-based technologies (e.g. Write and present information in a clear and concise way. Normalization and enrichment of heterogeneous data for data analysis and search. Assume personal responsibility for all outcomes; makes effective and timely decisions; and learns how to effectively use technology. Thorough and meticulous Data Analyst passionate about helping businesses succeed. More specifically, He has 5-10 years of experience developing on Big Data and 5-10 years on Power BI. SCRUM), Strong design and coding skills (e.g. What Should Be Included on a Data Engineer Resume 1. 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. Senior Data Engineer / Redshift Consultant. ), Experience with Amazon Web Services (AWS) technologies, Coding proficiency in at least one modern programming/scripting language (Python, R), Develop and help operate our data pipeline & infrastructure, Tackle some of the most challenging problems in high-performance, scalable analytics, Experience with scalability, large-scale data processing and ETL pipelines, Experience with NoSQL technologies such as Redis, Cassandra, HBase, and/or Hive, Developing and deploying applications on Linux infrastructure, Experience with SQL and relational databases, such as Postgres, Lead the gathering and processing of raw data at scale (for instance writing scripts, web scraping, calling APIs, write SQL queries, etc. Senior data engineers earn an average salary of $172,603 per year, with a reported salary range of $152,000 to $194,000. Reference the job description as you're writing your engineering resume and consider how your skills and background match with the requirements. It proves your ability to deliver optimal user experience with today’s technology. 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. The best big data engineer resume highlights your Hadoop skills and your NIL-error accuracy. Good Data Analyst Resume Summary. 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 … Get the right Data engineer job with company ratings & salaries. Senior Data Engineer, 04/2015 to Current Visa Inc – Denver, CO. Senior Data Engineer UNI344. Advanced ability in computer programming for statistical processes. He has 6+ years of experience. Applicants for jobs in engineering are often required to demonstrate technical expertise and problem solving abilities. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. 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). Engineering Resumes. 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. 42,243 Senior Data Engineer jobs available on Indeed.com. This candidate is a Senior Data Engineer. Reaches compromise and consensus to influence and negotiate. More specifically, He has 5-10 years of experience developing on Power BI and 5-10 years on Big Data. Developed unique real-time candidate matching system using Elasticsearch, Redis & Neo4j. 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. It’s the one thing the recruiter really cares about and pays the most attention to. When it comes to elite job roles such as Big Data Engineer where the responsibilities & expectations are high, the resume must be self-descriptive & … deploy new data pipelines and add data sources, Help establish best practices around data governance, data security- and privacy (GDPR), Work together with the solution- and data architect to the define the target data strategy, 5+ years’ experience with big data platforms; working with large data sets, large amounts of data in motion and numerous big data technologies, Preferable experience with data science scenarios and machine learning frameworks (Caffe, Theano, Tensorflow, MXnet, CNTK), Experience with data Architecture and design techniques (local/abstract), Experience with data blending technology (e.g. Senior Software Engineer Resume Example. Senior data engineer working to advance data-driven cultures by integrating disparate data sources and empowering end users to uncover key insights that tell a bigger story. Redshift is a strong preference, Experience with using external data processing engines for Big Data - AWS EMR preferred, Experience with working in the AWS cloud environment – EC2, S3, Redshift, IAM, EMR, etc, Experience with Business Intelligence tools and database design suited to these tools. They will help you and your resume to stand out in the pile of thousands of resumes and job applications. 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. 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