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GCP Senior Data Engineer (IN)
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Role Details Location: Hyderabad / Chennai (Hybrid) Positions Open: 4
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign and maintain scalable, high-performance data pipelines on GCP
Build and optimize data integration workflows using Dataflow, BigQuery and Pub/Sub
Optimize storage, query performance and cost across GCP data platforms
Provide technical leadership and mentorship to junior engineers
From the employer’s posting
Design, build, and maintain scalable and high-performance data pipelines on GCP.
Build and optimize data integration workflows ensuring efficiency and scalability.
Optimize storage and query performance across GCP data platforms.
Provide technical leadership and mentorship to junior engineers.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or master’s degree in computer science, IT, or related field
- Ability to work independently and in cross-functional teams
- Familiarity with DevOps practices & CI/CD pipelines
- 5-6 + years of experience in data engineering, with strong exposure to GCP
- Excellent communication and stakeholder management skills
- Experience with Big Data technologies (Hadoop, Spark)
Qualification wording
Bachelor’s or master’s degree in computer science, IT, or related field
Ability to work independently and in cross-functional teams
Familiarity with DevOps practices & CI/CD pipelines
5-6 + years of experience in data engineering, with strong exposure to GCP
Excellent communication and stakeholder management skills
Experience with Big Data technologies (Hadoop, Spark)
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
HCL Technologies is hiring
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- GCP
- Hadoop
- Spark
Where the posting names them
- Strong programming skills: - Python, SQL Key Competencies
4 Programming (Python, SQL) Yes
- Cloud Storage - Cloud SQL / Fire store - Build and optimize data integration workflows ensuring efficiency and scalability.
- Dataflow, Big Query, Pub/Sub - Cloud Storage, Cloud SQL, Fire store - Expertise in:
- Dataflow - Big Query - Pub/Sub
- Strong hands-on experience with: - Dataflow, Big Query, Pub/Sub - Cloud Storage, Cloud SQL, Fire store
5 GCP Services (Dataflow, Big Query, Pub/Sub etc.) Yes
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.
GCP-Based Data Integration - Leverage GCP services such as: - Dataflow
Preferred (Good-to-Have) Skills - GCP Certifications (Professional Data Engineer / Cloud Architect) - Experience with Big Data technologies (Hadoop, Spark)
- GCP Certifications (Professional Data Engineer / Cloud Architect) - Experience with Big Data technologies (Hadoop, Spark) - Exposure to Machine Learning / AI workflows
3 Big Data (Hadoop/Spark) No
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Has HCL Technologies posted this job before?
Yes. We’ve followed 19 other GCP Senior Data Engineer (IN) jobs there since November 2026. All 19 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About HCL Technologies
- People
- About 20,206 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HCLTECH.NS.
- H-1B visas
- 754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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
- Strong 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
Role Details
- Location: Hyderabad / Chennai (Hybrid)
- Positions Open: 4
- Travel: Not required
- Engagement Type: Individual Contributor
- Projects: Enterprise Data & AI engagements
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
Role Details - Location: Hyderabad / Chennai (Hybrid) - Positions Open: 4
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.