Tredence
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Kolkata · On-site · 6-9 Yrs · 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.
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
Job SummaryWe are seeking an experienced GCP Data Engineer to design, develop, and maintain robust, scalable data pipelines on Google Cloud Platform.
Responsibilities
- Design, build, and optimize scalable data pipelines and ETL processes using GCP services like BigQuery, Dataflow, Dataproc, and Cloud Storage.
- Develop high-quality, efficient, and well-documented code in Python and PySpark for data processing, manipulation, and analytics.
- Utilize PySpark for distributed data processing and analysis of large datasets to support analytical and business needs.Orchestrate data workflows using tools like Cloud Composer (Apache Airflow) and automate processes using Python and shell scripting.
- Implement data modeling, data warehousing concepts, and data governance practices to ensure data integrity, security, and quality.Monitor, troubleshoot, and optimize data processing jobs and queries for performance, reliability, and cost efficiency.
- Work closely with data scientists, analysts, and cross-functional teams to gather requirements and translate them into technical solutions.
Qualifications
- Experience with version control systems like Git. GCP Professional Data Engineer certification is a plus. .
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Job application FAQ
Last updated 27 October 2026
- How do I apply for GCP Lead Data Engineer 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 GCP Lead Data Engineer 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 GCP Lead Data Engineer 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 GCP Lead Data Engineer role at Tredence?
- This is a lead GCP Lead Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.