Big Data Engineer – Data Modeling (Full-time, Direct hire, Fully Remote)

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Fulltime, Direct hire, Remote (Work in PST hours) Client Startup (Pre-IPO), San Francisco, CA Salary Range 140k – 200k+ (DOE) + Full Benefits Perks + Sign-in bonus Our client is building industryrsquos most trusted mobile data and analytics platform. They are looking for a ldquoBig Data Engineerrdquo who can create innovative new products in the analytics and data space. You will participate in the development that creates the world’s 1 app stores analytics service. Together with the team you will build out new product features and applications using agile methodologies and open source technologies. You will work directly with Product Managers, Software Architects, and will be on the front lines of coding new and exciting analytics and data mining products. You should be passionate about what you do and excited to join an entrepreneurial start-up. Roles Responsibilities As a Big Data Engineer, we will need you to be in charge of model implementation and maintenance, and to build clean, robust and maintainable data processing program that can support these projects on huge amount of data, this includes Able to design and implement complex product components based on requirements with possible technical solutions. Write data programs using pyspark with a commitment to maintaining high quality work while being confident in dealing with data mining challenges. Discover any feasible new technologies lying in the Big Data ecosystem, share them to team with your professional perspectives. Get up to speed in the machine learning domain, implementing analysis components in a distributed computing environment with instruction from Data Scientists. Be comfortable conducting detailed discussions with Data Scientists regarding specific questions related to specific data models. You should be a strong problem solver with proven experience in big data. Qualifications Skills Hands-on experience and deep knowledge of Hadoop ecosystem Must PySpark, Mapreduce, HDFS Plus Storm, Kafka Must have 2+ years Linux environment development experience. Proficient with programming in Python, experience in Pandas, Sklearn or Other data science and data analysis toolset is a big plus. Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. Passion for cloud computing (AWS in particular) and distributed systems. You must be a great problem solver with the ability to dive deeply into complex problems and emerge with clear and pragmatic solutions. Good communication, and cooperation globally. Please respond with your updated resume and contact information. Best Regards, Dawar Consulting Inc.,