GCP Data Engineer

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

.
7+ years in data engineering with strong GCP experti

se
Role Summ

aryWe 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 environmen

ts.
Key Responsibili

• tiesDesign, develop, and maintain batch and real-time ETL/ELT pipelines on
• GCPBuild and optimize data pipelines using Py
• thonImplement streaming solutions using Pub/Sub and Data
• flowDevelop and manage batch workflows using Cloud Comp
• oserDesign and optimize data models and queries in BigQ
• ueryWork with large-scale, low-latency data stores such as Bigt
• ableEnsure data quality, reliability, performance, and scalabi
• lityManage source code, reviews, and collaboration using Gi
• tHubBuild and maintain CI/CD pipelines using GitHub Act
• ionsCollaborate with product, platform, and analytics teams in an Agile s

etup
Required Skills & Qualifica

• tionsStrong hands-on experience with Google Cloud Platform
• (GCP)Proven expertise in batch and real-time data pipe
• linesStrong programming experience in P
• ythonHands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Com
• poserSolid understanding of data modeling, ETL/ELT, and distributed data sy
• stemsProficiency with GitHub and GitHub Actions–based
• CI/CDExperience working in Agile environ
• mentsStrong knowledge of data security and access manag

ement
Behavioral Expect

• ationsStrong ownership, accountability, and delivery
• focusSelf-driven and proactive problem
• solverExcellent team player with strong collaboration
• skillsClear and effective commun

icator
Nice

• to HaveExperience with data governance, lineage, and observabilit
• y toolsExposure to large-scale analytics or enterprise data pl