HCLTech
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Unknown · Bengaluru, India
Hiring: Engineering
What employees say
+ No pro in that low salary
− 20k salary for 14 hrs work ,cab pickup and drop worst wasting 4 hrs daily ,too much of micromanagement, arrogant attitudes of managers
More reviews on the company profile.
Interview experience · Python Developer
HCL TECH On-Campus Hiring for common role Graduate Engineer Trainer with three Domain .net/PLSQL/Python Hiring Process: 1. Round 1: Online Test 1.1. Critical Reasoning 1.2. Analytical Reasoning 1.3. Quantitativ
Average difficulty · Karūr, Tamil Nadu · 16 reports
More interview insightsJob description
Overview
Position: GCP Data Engineer
Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines on GCP.
- Develop and optimize data solutions using BigQuery for large-scale data warehousing and analytics.
- Create efficient data transformation workflows using PySpark.
- Write complex SQL queries, stored procedures, and performance-tuning scripts.
- Ingest data from multiple structured and unstructured sources into GCP environments.
- Implement data quality, validation, and monitoring frameworks.
- Collaborate with business stakeholders, analysts, and data scientists to understand data requirements.
- Optimize query performance, partitioning, clustering, and cost management in BigQuery.
- Troubleshoot and resolve data pipeline and performance issues.
- Follow best practices for security, governance, and compliance within GCP.
Qualifications
- Location: Hybrid/Remote/Onsite
- Employment Type: Full-time
- Job Summary
- We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, SQL, and PySpark. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data processing workflows, and supporting enterprise analytics and reporting initiatives.
- 5+ years of experience in Data Engineering.
- Solid experience with Google Cloud Platform (GCP).
- Expertise in BigQuery and advanced SQL.
- Hands-on experience with PySpark for data transformation and processing.
- Experience building ETL/ELT pipelines.
- Good understanding of data warehousing concepts and dimensional modeling.
- Experience with workflow orchestration tools such as Cloud Composer (Airflow) is preferred.
- Knowledge of version control systems such as Git.
- Experience with performance tuning and optimization of large datasets.
- Strong analytical and problem-solving skills.
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Job application FAQ
Last updated 19 October 2026
- How do I apply for Hiring: Gcp Data Engineer: Face To Face Hackathon On 19-Sep@ Chennai (India) at HCLTech?
- 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. HCLTech may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Hiring: Gcp Data Engineer: Face To Face Hackathon On 19-Sep@ Chennai (India) 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 Hiring: Gcp Data Engineer: Face To Face Hackathon On 19-Sep@ Chennai (India) remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Hiring: Gcp Data Engineer: Face To Face Hackathon On 19-Sep@ Chennai (India) role at HCLTech?
- This is a mid-level Hiring: Gcp Data Engineer: Face To Face Hackathon On 19-Sep@ Chennai (India) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.