Tiger Analytics
via Workable
Data Engineer
Posted 1,008 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1008d ago
The date the source published, not the day we noticed it (2023-12-12). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay CA$155k–200k/yr
Middle 50% of 231 listings that do state pay — Engineering · all levels · Canada · CAD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 11d ago · last seen 1h ago
The listing
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.
Requirements
- Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
- AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
- AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
- DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
- Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.