Tredence
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Chennai · On-site · 6 days ago
Business consulting · 1001 to 5000 Employees · San Jose, US
As with every marathon, the last mile is the toughest. It is here that enterprises lose the strength and resolve to take analytics beyond insight generation and use them to generate value. That’s where we saw a gap waiting to be filled - in activating data and operationalizing insights for real, tangible business impact. We’re focused on bridging the gap between insights delivery and value realization, partnering with our clients to help them cross the last-mile gap in analytics. This DNA pushes our ecosystem to go beyond possible, helping our clients re-think their limitations and overcome their norms of ‘possible’.
Hiring: Engineering
What employees say
+ Enthusiastic and ambitious work culture. Tredence enables everyone with the tools, means and the backing one needs to succeed and grow.
− As a fast growing organization, baseline expectations would be to learn and adapt fast, be on the toes and fail fast. Not a con but the rapid pace in work is not for all.
More reviews on the company profile.
Glassdoor median (Data Engineering Manager): 31.5 LPA
Interview experience · Data Engineer
It was very easy with basic dsa in your preferred language and basic sql concepts like joins. Prepare basic dsa and sql it will help to get on interview process
Very_easy difficulty · Chennai · 440 reports
More interview insightsJob description
Overview
Engages with Leadership of Tredences clients to identify critical business problems, define the need for data engineering solutions and build strategy and roadmap S/he possesses a wide exposure to complete lifecycle of data starting from creation to consumption S/he has in the past built repeatable tools / data-models to solve specific business problems S/he should have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to o Provide consultation to senior client personnel o Implement and enhance data warehouses or data lakes.
Responsibilities
- Engages with Leadership of Tredences clients to identify critical business problems, define the need for data engineering solutions and build strategy and roadmap S/he possesses a wide exposure to complete lifecycle of data starting from creation to consumption S/he has in the past built repeatable tools / data-models to solve specific business problems S/he should have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to o
- Provide consultation to senior client personnel o
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Data Engineering at Tredence?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tredence may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineering remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineering role at Tredence?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.