DATA ENGINEER

Full-Time and Internship

Do you love data analytics, build data pipelines in your sleep, and enjoy problem solving? Data Science Dojo is looking for a Data Engineer to join our growing team to help construct said data pipelines, investigate new technologies, and exude a never-ending passion for big data. They should also have a working knowledge of data architecture and database design, love automation, and be able to collect data in the absence of data (web scraping). Our ideal Data Engineer will have a familiarity in machine learning, advanced knowledge of real-time data streams and data engineering, as well as cloud computing/distributed systems. Ultimately, your thirst for knowledge in all of the above will be the greatest element we’re looking for.

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Job Responsibilities

Develop reliable data pipelines that convert data into insights
Explore and document new technologies in coordination with technical writers
Share data engineering insights with a learning community
Explain data engineering processes through written tutorials
Research, analyze, and evaluate new big data technologies

Ideal Applicants Have

Experience with development on the Azure cloud platform
Source code proof of MapReduce, Hadoop, and Spark
Veteran experience of C#, Scala, Azure PowerShell, or Java
Development experience on IntelliJ or Visual Studio is preferred
Degree in Computer Science, Electrical and Computer Engineering preferred
Must be eligible to work in the United States
Ability to impact and influence product strategy without authority, drive cross group collaboration, successfully advocate for customers and apply critical thinking and creative solutions in a dynamic highly ambiguous working environment.
Experience using quantitative and qualitative data to make decisions and recommendations, to build and communicate plans, and to monitor and measure progress against goals.
Strong sense of pride and personal accountability for the end-to-end product/service quality, completeness, and resulting in good quality user experience.
Self-starter with a proven ability to work in fast-paced environment; possesses a “whatever it takes mentality,” able to quickly and easily adapt to changing mandates and priorities.
Must demonstrate a sense of urgency around critical priorities, but work calmly, independently and effectively under pressure.

Basic Qualifications

A Bachelors or higher degree in Statistics, Mathematics, Computer Science, Electrical and Computer Engineering, or Economics
Knowledge of some of the following: R, Python, Hive, Pig, Mahout, Java, C#
Relevant coursework in machine learning, data science, data mining, big data, and/or statistical inference
Working knowledge of big data concepts like Hadoop, MapReduce, and HDFS
Familiarity with data tools and services in Azure, AWS, and/or GCP eco-system is preferred
1-4 years or more demonstrated experience using quantitative and qualitative data to make decisions and recommendations, to build and communicate plans, and to monitor and measure progress against goals.
Demonstrated experience using quantitative and qualitative data to make decisions and recommendations, to build and communicate plans, and to monitor and measure progress against goals.

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About Data Science Dojo

We are on a mission to make data science accessible to everyone. We offer short-duration, data science bootcamps that have been attended globally by more than 3,600 professionals from over 700 leading companies across the world. Our clients come from companies like Microsoft, Apple, Google, and Facebook. Our customers love us, and we are among the top rated data science programs on both Course Report and SkilledUp. We are a startup and thanks to our customers, we are growing like crazy.

We are looking for serious data geeks to join our team and assist in various data science activities we are involved in, including teaching, solution development, and solution delivery.

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DATA ENGINEER

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