Associate – Data Engineer Bain & Company

InterviewGIG; Ajax; On-site; CAD 60,000 - 100,000; Full time

Job summary

Join a dynamic and innovative team where your analytical skills can shine! This opportunity is perfect for individuals with a passion for data engineering and software development. With a focus on teamwork and collaboration, you will be involved in end-to-end delivery cycles of analytical solutions, working with cutting-edge technologies such as HTML, CSS, JavaScript, SQL, and Python. If you have a strong academic background and a desire to grow in a supportive environment, this role offers the chance to make a significant impact on data-driven projects. Embrace the challenge and take your career to new heights in a forward-thinking company!

Qualifications

• Masters or advanced degree in analytics-related field required.
• 1-2 years in data engineering for Masters, 3+ for Bachelors.

Responsibilities

• Manage and deliver data-driven projects effectively.
• Collaborate in a team-oriented environment for client support.

Skills

HTML

CSS

JavaScript

SQL

Ajax

RESTful APIs

C

JAVA

Python

Django

Streamlit

AWS

Azure

Airflow

Snowflake

PySpark

Git

Docker

Education

Masters in Analytics-related field

Bachelors in Analytics-related field

Tools

AWS

Azure

Git

Docker

Job description

Minimum Qualifications:

1. A Masters or any other advanced degree in a field linked to analytics such as Computer Science, Information Technology (IT), Operations Research, Engineering, etc.
2. If you have a Bachelors in any of the fields mentioned above, we seek a stellar academic record with proof of ability in implementing applications and working through the end-to-end delivery cycle of analytical solutions, including hosting.
3. Excellent skills in HTML, CSS, JavaScript, SQL, Ajax, working with APIs (RESTful or otherwise), a coding language such as C or JAVA, and intermediate exposure to Python.
4. Skills and exposure to Django and/or Streamlit are preferred, although not mandatory.
5. Good-to-have exposure to either AWS or Azure with some experience in deploying Python-based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc.
6. Ability to 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.
7. 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.
8. Demonstrated abilities to manage and deliver data-driven projects.