Live opening · Posted 11 days ago

GCP Data Engineer

Impetus · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyImpetus
LocationGurugram, Haryana, India (On-site)
Work modeNo
SkillsGCP, Python
SourceLinkedin
ListedPosted 11 days ago

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About the role

Description supplied by the original job listing.

About Impetus
Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth.
Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.
Skills
4+ years in data engineering with strong GCP expertise
Role Summary
We are seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP). The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments.
Key Responsibilities
Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP
Build and optimize data pipelines using Python
Implement streaming solutions using Pub/Sub and Dataflow
Develop and manage batch workflows using Cloud Composer
Design and optimize data models and queries in BigQuery
Work with large-scale, low-latency data stores such as Bigtable
Ensure data quality, reliability, performance, and scalability
Manage source code, reviews, and collaboration using GitHub
Build and maintain CI/CD pipelines using GitHub Actions
Collaborate with product, platform, and analytics teams in an Agile setup
Required Skills & Qualifications
Strong hands-on experience with Google Cloud Platform (GCP)
Proven expertise in batch and real-time data pipelines
Strong programming experience in Python
Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer
Solid understanding of data modeling, ETL/ELT, and distributed data systems
Proficiency with GitHub and GitHub Actions–based CI/CD
Experience working in Agile environments
Strong knowledge of data security and access management
Behavioral Expectations
Strong ownership, accountability, and delivery focus
Self-driven and proactive problem solver
Excellent team player with strong collaboration skills
Clear and effective communicator
Nice to Have
Experience with data governance, lineage, and observability tools
Exposure to large-scale analytics or enterprise data platforms

Work arrangement
No

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