Apply to Data Engineer, Scheduler, Virtualization Engineer and more! Alteryx) is preferred, Data pipelining-based technologies (e.g. Senior IT Operations Engineer Responsibilities Example "I Implemented a Jenkins system. MSSQL, MySQL, PostgreSQL), Auto software deployment technologies (e.g. More specifically, He has 5-10 years of experience developing on Big Data and 5-10 years on Power BI. Resume objectives work best for those with limited professional experience. Senior Data Engineer / Redshift Consultant. Naturally it’s going to be filled with the work experience, successful projects along with the firms or companies he/she worked for. Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases. 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 … Ability to lead complex database projects. References, education and the credentials follow those elements. To support the business community and team by providing subject matter expertise, guidance and training. 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. Advanced ability in computer programming for statistical processes. 7. Include your location and contact information in the header. A well written objective statement sets the direction of the reader. 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. 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. Senior Data Engineer Resume Austin, Texas. - Working as Site engineer in FGH Group from 2010- Presently. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. Please provide a type of job or location to search! ), 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.) Maintain productivity and uses knowledge strategies to increase knowledge base. 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. Senior data engineers earn an average salary of $172,603 per year, with a reported salary range of $152,000 to $194,000. Hire Now SUMMARY. Be it a student resume or that of a senior position, you need to customize each resume for specified job profile mentioning your engineering specialty in areas you intend to target. 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.) Reaches compromise and consensus to influence and negotiate. - Worked as Site Engineer in MJK Group from 2008-2010. It proves your ability to deliver optimal user experience with today’s technology. 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. Lead the team to build robust systems for the long term maintenance and support of the application, Develop and manage data set processes for data modeling, mining and production, Drive cross team design and development via technical leadership and mentoring, Research opportunities for data acquisition and new uses for existing data and make recommendations as needed, Partner with Enterprise Information Management Data Architect team, Oversee the Enterprise Metadata Architecture and Standards, Lead strategy and architecture for Enterprise Analytics Data Management, Recommend ways to improve data reliability, efficiency and quality, Jointly responsible with broader application development teams to drive implementation of data management roadmap, Collaborate in the development and adherence to compliance of architecture principles and standards for the various systems and components based on design patterns, Provide recommendations during the Architecture Review process, Perform all other job related duties as requested, Bachelor's degree Computer Science, Information Management or equivalent education and experience, At least 6 years progressively responsible job-related experience, with 4 years related to data management and 3 years in data modeling, Familiarity with Teradata, Oracle, MS SQL Server, DataStage, or Informatica, Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data management solution, Expertise in information and integration architecture and technologies, Strong leadership, communication and influencing skills, Must be able to work with diverse project teams with members representing many segments and levels of the organization. Senior Data Engineer, 04/2015 to Current Visa Inc – Denver, CO. ... Data engineer skills. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. Identifies potential solutions, including the cost/benefit of each option. Conducts appropriate testing, including functionality, technical limitations, and security where applicable, Provides expert level technical direction for critical software, middleware, and/or hardware projects on multiple platforms. Senior Data Engineer UNI348. Completes complex development, design, implementation, architecture design specification, and maintenance activities, Maintains current knowledge of JA methodology, architecture design, and technical standards. Drive the projects to continuously enrich the Econ analytics data repository and improve the data quality, Proficiency with SQL queries to retrieve and analyze data. The best big data engineer resume highlights your Hadoop skills and your NIL-error accuracy. Senior Data Engineer May 2019 - Current Wayfair Boston, MA. 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. Provides documentation, including technical standards and processes. He has 8+ years of experience. 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). Responsibilities: Designing and building multi-terabyte, full end-to-end Data Warehouse infrastructure from the ground up on Confidential Redshift for large scale data handling Millions of records every day. And execute Data security standards, procedures and disaster recovery plans transactions.... 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