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Description At LogMeIn, we build beautifully simple and easy-to-use Cloud-based, cross-platform Web, Mobile and Desktop software products. You probably know us by such industry-defining brand names as GoToMeeting®, GoToWebinar®, JoinMe®, LastPass®, Rescue® and BoldChat® as well as other award winning products and services. LogMeIn enables customers around the world to enjoy highly productive, mobile workstyles. Currently, we’re searching for a high caliber and innovative Big Data and Analytics Engineer who will provide useful insights into the data and enable the stakeholders make Data Driven decisions. He’ll be part of the team building the next generation data platform on Cloud using cutting edge technologies like Spark, Presto, Kinesis, EMR, Pig, Hive, Redshift. If you're passionate about building high quality software for data, thrive in an innovative, cutting-edge startup-like environment, and consider yourself to be a top-notch Data Engineer, then LogMeIn could very well be the perfect fit for you and your career. Responsibilities • Responsible for analysis, design and development activities on multiple projects; plans, organizes, and performs the technical work within area of specialization • Participates in design activity with other programmers on technical aspects relating to the project, including functional specifications, design parameters, feature enhancements, and alternative solutions; • Meets or exceeds standards for the quality and timeliness of the work products that they create (e.g., requirements, designs, code, fixes). • Implements, unit tests, debugs and integrates complex code; designs, writes, conducts, and directs the development of tests to verify the functionality, accuracy, and efficiency of developed or enhanced software; analyzes results for conformance to plans and specifications making recommendations based on the results • Generally provides technical direction and project management within a project/scrum team with increased leadership of others; provides guidance in methodology selection, project planning, the review of work products; may serve in a part-time technical lead capacity to a limited number of junior engineers, providing immediate direction and guidance • Keeps technically abreast of trends and advancements within area of specialization, incorporating these improvements where applicable; attends technical conferences as appropriate Requirements • Bachelor’s degree or equivalent in computer science or related field is preferred, with 5-8 years of directly related work experience • Hands-on experience designing, developing and maintaining high-volume ETL processes using Big Data technologies like Pig, Hive, Oozie, Spark, MapReduce • Solid understanding of Data Warehousing concepts • Strong understanding of Dimensional Data Modeling • Experience in using Hadoop, S3, MapReduce, Redshift, RDS on AWS • Expertise in at least one Visualization tool like Tableau, Quicksight, PowerBI, Sisense, Birst, QlikView, Looker etc. • Experience in working on processing real time streaming data • Strong SQL and Stored Procedure development skills. Knowledge of NoSQL is an added plus • Knowledge of Java to leverage Big Data technologies is desired • Knowledge of scripting language preferably Python or statistical programming language R is desired • Working knowledge of Linux environment • Knowledge of SDLC and Agile development methodologies • Expertise in OOAD principles and methodologies (e.g., UML) and OS concepts • Extensive knowledge and discipline in software engineering process; experience as a technical lead on complex projects, providing guidance on design and development approach • Expertise implementing, unit testing, debugging and integrating code of moderate complexity • Experience helping others to design, write, conduct, and direct the development of tests • Experience independently publishing papers, blogs, and creating and presenting briefings to technical audiences • Strong critical thinking and problem solving skills • Approaches problems with curiosity and open-mindedness
