We use cookies for the best user experience on our website, including to personalize content & offerings, to provide social media features and to analyze traffic. By clicking “Accept All Cookies” you agree to our use of cookies. You can also manage your cookies by clicking on the "Cookie Preferences" and selecting the categories you would like to accept. For more information on how we use cookies please visit our and Modify Cookie Preferences
Reject All Cookies Accept All Cookies
GCP Senior Data Engineer
India
Job Description
GCP Senior Data Engineer
Bengaluru, Karnataka
Job Summary
We are looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. This role is critical in enabling data-driven decision-making by developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives.
You will work closely with cross-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions.
Key Responsibilities
Data Engineering & Architecture
- Design, build, and maintain scalable and high-performance data pipelines on GCP.
- Develop and manage modern data architectures to support batch and real-time processing needs.
- Implement reusable frameworks to standardize data ingestion and transformation processes.
GCP-Based Data Integration
- Leverage GCP services such as:
- Dataflow
- Big Query
- Pub/Sub
- Cloud Storage
- Cloud SQL / Fire store
- Build and optimize data integration workflows ensuring efficiency and scalability.
Data Management & Optimization
- Optimize storage and query performance across GCP data platforms.
- Ensure cost optimization, performance tuning, and scalable data design.
Quality, Governance & Security
- Implement robust data quality checks, validation frameworks, and monitoring mechanisms.
- Ensure adherence to data governance, security, and compliance standards.
Collaboration & Stakeholder Management
- Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.
- Translate business problems into technical data solutions.
Operations & Reliability
- Monitor, troubleshoot, and ensure high availability and performance of data pipelines.
- Implement logging, alerting, and observability frameworks.
Leadership & Mentoring
- Provide technical leadership and mentorship to junior engineers.
- Drive best practices in coding, architecture, and deployment.
Continuous Improvement
- Stay updated with the latest GCP innovations and data engineering best practices.
- Proactively recommend improvements to enhance system performance and scalability.
Required Qualifications & Skills
Education & Experience
- Bachelor's or master's degree in computer science, IT, or related field
- 5-6 + years of experience in data engineering, with strong exposure to GCP
Skill Requirements
Core Technical Skills (Must Have)
- Strong hands-on experience with:
- Dataflow, Big Query, Pub/Sub
- Cloud Storage, Cloud SQL, Fire store
- Expertise in:
- ETL/ELT processes
- Data warehousing & data modeling
- Solid programming skills:
- Python, SQL
Key Competencies
- Strong analytical and problem-solving skills
- Attention to detail and commitment to data accuracy
- Ability to work independently and in cross-functional teams
- Excellent communication and stakeholder management skills
Preferred (Good-to-Have) Skills
- GCP Certifications (Professional Data Engineer / Cloud Architect)
- Experience with Big Data technologies (Hadoop, Spark)
- Exposure to Machine Learning / AI workflows
Familiarity with DevOps practices & CI/CD pipelines
Other Requirements
Skill Evaluation Matrix
Skill Area
Mandatory
Expected Proficiency (0-5)
Data Pipeline Architecture
Yes
5
GCP Services (Dataflow, Big Query, Pub/Sub etc.)
Yes
5
Data Integration
Yes
4
Data Storage Optimization
Yes
4
Data Quality & Security
Yes
4
Programming (Python, SQL)
Yes
4
Stakeholder Collaboration
Yes
3
Monitoring & Troubleshooting
Yes
3
Leadership & Mentoring
Yes
3
ETL & Data Warehousing
No
3
Big Data (Hadoop/Spark)
No
3
DevOps
No
2
Information at a Glance
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Copyright © 2026 HCL Technologies Limited
×
Cookie Consent Manager
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However,
blocking some types of cookies may impact your experience of the site and the services we are able to offer.
Required Cookies
These cookies are required to use this website and can't be turned off.
Required Cookies
Show More Details
Required Cookies Provider Description Enabled
SAP as service provider
We use the following session cookies, which are all required to enable the website to function:
- "route" is used for session stickiness
- "careerSiteCompanyId" is used to send the request to the correct data center
- "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
- "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another
Cookies from provider SAPasserviceprovider are required and cannot be turned off
Functional Cookies
These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies.
Consent to all Functional Cookies
Show More Details
Functional Cookies Provider Description Enabled
Vimeo
Vimeo is a video hosting, sharing, and services platform focused on the delivery of video. Opting out of Vimeo cookies will disable your ability to watch or interact with Vimeo videos.
Consent to cookies from provider Vimeo
YouTube
YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like, and comment on videos. Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos.
Consent to cookies from provider YouTube
Advertising Cookies
These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies.
Consent to all Advertising Cookies
Show More Details
Advertising Cookies Provider Description Enabled
Google Analytics
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic.
Consent to cookies from provider GoogleAnalytics
Google Tag Manager
Google Tag Manager is a tag management system for conversion tracking, site analytics, remarketing, and more.
Consent to cookies from provider GoogleTagManager
LinkedIn
LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn.
📌 GCP Senior Data Engineer (India)
🏢 HCLTech
📍 India