Data Engineer


Jun 29, 2018
Mountain View, California



Data Engineer (6399)
Duration:  6+ months (possible extension to 1 year)
Location: Mountain View CA

Job Description
*        Experience building automation tools, web based apps.
*        Strong with Python, Java and Linux
*        Connecting data pipeline, data processing, workflow design, hosted programming tools
*        Main duties include: Database design, Programming, building front end tools, creating workflow, system automation

Job description
As a Data Engineer at Customer, your core responsibility will be to maintain and scale our infrastructure for analytics as our data volume and needs continue to grow at a rapid pace. This is a high impact role, where you will be driving initiatives affecting teams and decisions across the company. You'll be a great fit if you thrive when given ownership, as you would be the key decision maker in the realm of architecture and implementation.

Responsibilities
*        Architect systems and end-to-end solutions that provide fast, efficient and reliable interfaces to heterogeneous data, meta data for internal users of the analytics infrastructure.
*        Automate existing processes and create systems that favor self-service data consumption.
*        Own the quality of our analytics data. Implement a robust monitoring & logging framework that guarantees the traceability of inevitable incidents.
*        Evaluate whether the best solution for each problem at hand is to build, buy or contract the work.
*        Interface with data scientists, analysts, product managers and all other customers of the analytics infrastructure to understand their needs and expand the infrastructure as we grow.

Requirements
*        BS/BA in Computer Science/Engineering, or relevant technical field with 2 - 3 years of experience as software engineer and/or data engineer and/or front-end engineer and/or full-stack engineer
*        Ability to manage data warehouse plans and communicate them to internal clients.
*        At least 4 years of experience as a Data Engineer, or in a role that required expertise in data pipeline technologies.
*        Strong overall programming skills, able to write modular, maintainable code and high quality code
*        Strong in web-based programming (CSS, HTML, PHP)
*        Experience in one or more data visualization libraries like Tableau, Plotly, InfoGram, Material Design
*        Strong python programming specially in python machine learning and data mining libraries (SciPy, Panda, Numpy)
*        Strong in Linux and shell-scripting
*        Specialized experience with at least one of HDFS, EMR, Redshift, Spark, Flink, or Presto.
*        Experience with SQL RDBMS is required.
*        Experience in client/server, RESTFul architecture and tools like Jenkins, RunDeck
*        Experience in basics of data mining, clustering, classification and comfortable to work with large matrices of data effectively
*        Familiar with CUDA, Blast and machine leaning engineers like Tensorflow, Torch, PyTorch, DIGITS

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