Associate – Data Engineer Bain & Company

InterviewGIG; Ajax; On-site; CAD 70,000 - 100,000; Full time

Job summary

A cutting-edge analytics company, recognized for its innovative solutions, is seeking individuals with advanced degrees in relevant fields. Ideal candidates will have a solid foundation in programming and data engineering, with excellent skills in HTML, CSS, JavaScript, SQL, and exposure to cloud platforms. This role promises to offer a collaborative work environment while navigating complex data projects and using a variety of tools and technologies.

Qualifications

• 1-2 years of experience for Masters holders; 3 years for Bachelors holders.
• Ability to manage and deliver data-driven projects.
• Team-oriented approach with a collaborative working style.

Responsibilities

• Implement applications and manage end-to-end delivery of analytical solutions.
• Develop data-driven projects leveraging various technologies.
• Collaborate with teams for better client support.

Skills

HTML

CSS

JavaScript

SQL

Ajax

APIs (RESTful)

Python

C

JAVA

Django

Streamlit

AWS

Azure

Git

Docker

Education

Masters in Computer Science, IT, Operations Research, Engineering

Bachelors in relevant fields

Tools

Airflow

Snowflake

PySpark

Job description

• A Masters or any other advanced degrees in a field linked to analytics such as Computer Science, Information Technology (IT), Operations Research, Engineering, etc.
• If you are a Bachelors in any of the fields mentioned above, then we would seek a stellar academic record with proof of ability in not just implementing applications but also working through the end-to-end delivery cycle of analytical solutions including hosting
• Excellent skills in HTML, CSS, JavaScript, SQL, Ajax, working with APIs – RESTful or otherwise, a coding language such as C or JAVA and an intermediate exposure to Python.
• Having skills and exposure to Django and/or Streamlit would be given preference, although it is not a mandatory requirement.
• (Good-to-have, but not necessary) Exposure to either AWS or Azure with some experience of deploying Python based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc.
• You will fit into our team-oriented structure with a college/hostel-style way of working, having the comfort of reaching out to anyone for support that can enable our clients better
• At least 1 or 2 years of demonstrated abilities in data engineering and software development if you are a Masters degree holder; and, at least 3 years of a stellar career track record if you are a Bachelors degree holder
• Demonstrated abilities to manage and deliver data-driven projects