Data Engineer

Redmond, WA, USA | Karachi, Pakistan | Remote
Full-Time

At Data Science Dojo, we are looking for a talented and enthusiastic individual to join the data engineering team of our rapidly growing organization. 

As a Data Engineering Intern, you will be creating and evaluating data pipelines, investigating new technologies, and exuding a never-ending passion for big data. You will also get a chance to create tutorials and blog posts on trending topics in the world of data science. You will collect data from a variety of sources, extract valuable insights, and present the findings in an understandable manner. As Data Science Dojo greatly relies on the value of data, you’ll be expected to use trends from several credible sources to add value to your work. You will work closely with many remarkable people at Data Science Dojo, including but not limited to our data science, development, and social media teams. 

 

Responsibilities

  • Develop reliable data pipelines that convert data into insights 
  • Configure end-to-end components of a big data pipeline for various data science problems 
  • Explore and document new technologies in coordination with technical writers and content developers 
  • Develop, document and launch products using the latest AI tools from cloud providers 
  • Share data engineering insights with a learning community 
  • Come up with innovative ways to explain data engineering processes through tutorials, workshops, and training programs 
  • Curate, research, design, and write tutorials and blog posts for various data science, big data, and predictive analytics tools 
  • Research, analyze, and evaluate new, big data technologies 
  • Define metrics of success for products and services and keep track of the progress 

 

Minimum Qualifications

  • Recently completed or working toward an undergraduate degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a related field (Final year) 
  • Knowledge and proven experience of working with at least one programming language, virtual machines and virtual networks 
  • Experience working with both SQL and NoSQL databases. 
  • Familiarity with data tools and services in Azure, AWS, and/or GCP eco-system 
  • Experience using quantitative and qualitative data to make decisions, devise strategies, and measure the progress of projects over time 
  • Excellent English verbal and written communication skills 
  • Ability to work in a fast-paced and highly collaborative environment 
  • Willingness to work as an individual and in a team as per the need of a project 

 

Nice to Have

  • Working towards a graduate degree in Software or Computer Engineering or a related field 
  • Experience working with tools like chatbots, computer vision, NLP, and spatial analysis 
  • Technical writing experience 
  • Prior experience working in the development team at a reputed organization 
  • Development experience on Azure Cloud Platform, IntelliJ, and/or Visual Studio 
  • Proven experience of working with MapReduce, Hadoop, and Spark 
  • Experience with Redis 
  • Experience with data validation (Great Expectations, Amazon Deequ) 
  • Experience with Azure Databricks  
  • Experience with PowerShell scripting and/or Azure CLI 

 

About Data Science Dojo

Data Science Dojo is one of the leading platforms providing training in data science, data analytics, and machine learning. Our strong network of more than 10000+ alumni from over 100+ countries makes us the most trusted learning platform in the field. Our mission is to make data science easier, more practical, and accessible to everyone by creating a network of mentors, students, and professionals.
Data Science Dojo is a unique workplace that invests heavily in employees and growth. Our teams are constantly solving problems and working together, empowering people around the world to use data science in effective ways. We are always open to new ideas, making the most out of every opportunity. Working at Data Science Dojo is a unique experience, filled with fun and a lot of growth.