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Big Data Engineer (DW/ETL)

Company: Intuit
Location: Mountain View
Posted on: November 18, 2020

Job Description:

Overview Come join the Data Engineering Team as a Software Engineer II. We are leveraging big data technologies to gain new insights into our customer experiences; building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include: Hadoop, Vertica, Hive and AWS Big Data Systems. Participate in the entire product lifecycle for software products and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices. Work with Industry Experts; Senior, Staff and Principle Engineers, utilize specialized knowledge to develop, and maintain Intuit--s software. Although our team supports hosted services, we also publish cross platform libraries for Linux/Windows/Mac -- so you are a good fit if you have competent working knowledge in both java and C++. What you'll bring BS or MS in Computer Science or related field or equivalent work experience 3 years of core development experience Skilled in developing Software for Java (Spring & Springboot), Scala for spark streaming & spark applications, or other JVM based languages. Working Knowledge of XML, JavaScript, JSON, YML and Linux Advanced experience with scripting language -- Python or Shell is a must have Strong knowledge of software development methodologies and practices Experience working in Agile development teams; working knowledge of Agile (Scrum) development methodologies Experience with Amazon web services: EC2, S3, and EMR (Elastic Map Reduce) or equivalent cloud computing approaches Strong expertise in Data Warehousing and analytic architecture Experience working with large data volumes Experience in HTML5, CSS, and other Web technologies a plus. Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Cassandra, MongoDB) is a plus Experience with building stream-processing applications using Spark Streaming, Kinesis, etc. is a plus Additional Exposure to unit testing frameworks Hands on experience with Hadoop stack of technologies -- Hive, Pig, pig-udf Ability to research and integrate 3rd party solutions Evolving a mature code base into new technologies Experience creating and consuming SOAP based or JSON/REST web services and communicating with systems. Experience developing web services How you will lead 70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems Conduct design and code reviews Defect remediation Technical design specification Automated unit tests Estimates and sequence of individual activities as inputs to project plans Analyzes and synthesizes a variety of inputs to create software and services. Identify dependencies as inputs to project plans Collaborates effectively with peer engineers and architects to solve complex problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. Influences and communicates effectively with non-technical audiences including senior product and business management. Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Vertica

Keywords: Intuit, Mountain View , Big Data Engineer (DW/ETL), Other , Mountain View, California

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