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HR Consulting · Unknown · Cranbury, US
Hiring: Engineering
What employees say
+ Work culture, Support from Management, Salary on time
− Nothing much, it was good
More reviews on the company profile.
Interview experience · Analyst
Overall experience is so good. They believe that a candidate has a lot of leverage, but not afraid to give constructive and stern criticism on both sides when necessary.
Average difficulty · Bengaluru · 2 reports
More interview insightsJob description
Overview
We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform.
Responsibilities
- We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.
- Design, develop and maintain scalable batch and real-time data pipelines on GCP.
- Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
- Design end-to-end data integration flows across systems.
- Design scalable fact/dimension schemas in cloud data warehouses.
- Handle structured, semi-structured and unstructured data at scale.
- Implement data quality checks, security and compliance policies; protect sensitive information.
- Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.
- Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.
- GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.
- Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.
- CI/CD: Deployment using GitHub Actions and Jenkins.
- Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.
- Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.
Qualifications
- Bachelor's degree in Computer Science, IT, Engineering or a related field.
- 4-10 years of data engineering experience with hands-on GCP delivery.
- Strong problem-solving, communication and stakeholder management skills.
- GCP Professional Data Engineer certification preferred.
- Priority 1: Internal profiles (TCSers).
- Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.
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Job application FAQ
Last updated 17 October 2026
- How do I apply for GCP Data Engineer /F2F / Bangalore at NAM Info?
- 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. NAM Info may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this GCP Data Engineer /F2F / Bangalore 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 Data Engineer /F2F / Bangalore remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this GCP Data Engineer /F2F / Bangalore role at NAM Info?
- This is a mid-level GCP Data Engineer /F2F / Bangalore role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.