Tredence
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Kolkata · On-site · 1-3 Yrs · 2 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.
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
Responsibilities: • Design and develop scalable data pipelines on GCP.
Responsibilities
- Design and develop scalable data pipelines on GCP.
- Build ETL/ELT solutions using Dataflow and Dataproc.
- Develop and optimise BigQuery datasets for reporting and analytics.
- Manage structured and unstructured data in GCS.
- Implement data quality, validation, and monitoring frameworks.
- Collaborate with business, analytics, and engineering teams to deliver data solutions.
- Troubleshoot production issues and optimise pipeline performance.
Qualifications
- Strong SQL expertise.
- Python and PySpark development.
- Apache Spark ecosystem.
- BigQuery, Dataflow, Dataproc, GCS (mandatory).
- Data warehousing and data modelling concepts.
- Understanding of cloud security and IAM.
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Job application FAQ
Last updated 20 September 2026
- How do I apply for Data Engineer (GCP) 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 Engineer (GCP) 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 Engineer (GCP) remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (GCP) role at Tredence?
- This is a mid-level Data Engineer (GCP) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.