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Dec 29 /

senior data engineer resume

Senior Data Engineer May 2019 - Current Wayfair Boston, MA. 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. With a Senior Civil Engineer resume, the format begins with the contact information and specialties. Bad Data Analyst Resume Summary. 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. Provides documentation, including technical standards and processes. Full-stack development of award-winning SaaS Platform. Please provide a type of job or location to search! Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig, etc. SCRUM), Strong design and coding skills (e.g. Senior Data Engineer Resume Austin, Texas. Demonstrated computer and analytic skills to determine methodology alternatives, Ability to effectively communicate both verbal and written thoughts, ideas, and facts. By reviewing job description examples, you'll be able to identify what technical and soft skills, credentials and work experience matter most to an employer in your target field. Developed unique real-time candidate matching system using Elasticsearch, Redis & Neo4j. Ability to establish and execute data security standards, procedures and disaster recovery plans. Maintain productivity and uses knowledge strategies to increase knowledge base. How to describe the responsibilities of a Data Engineer on your resume: Expounding on your rules and responsibilities is key to your resume. 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. 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. 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 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. Senior data engineers earn an average salary of $172,603 per year, with a reported salary range of $152,000 to $194,000. 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. ), 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. Match with the requirements recipient of an MBA, your Big Data Engineer 2019... 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