Urgent hiring For Data Engineer GCP data engineer

Impetus Technologies; Chennai District, Bengaluru, Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Impetus Technologies is seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform. You will collaborate with agile teams to deliver reliable data solutions.

The role emphasizes hands-on coding in Python/PySpark, data modeling, and ensuring data quality at scale, with exposure to BigQuery, Pub/Sub, Dataflow, and Cloud Composer. You will own end-to-end data workflows and implement CI/CD with GitHub Actions in a fast-paced

Qualifications

• Experience designing batch and real-time data pipelines on GCP.
• Proficiency with Python, PySpark.
• Hands-on with BigQuery, Bigtable, Pub/Sub, Dataflow, Cloud Composer.
• Strong data modeling and ETL/ELT skills; distributed data systems.
• Experience with GitHub and CI/CD workflows.

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.

Skills

GCP

Python

PySpark

ETL/ELT

Data modeling

Distributed data systems

Data security

Agile

Ownership

Tools

BigQuery

Bigtable

Pub/Sub

Dataflow

Cloud Composer

GitHub

GitHub Actions

Job description

Role Summary

We are seeking aSenior GCP Data Engineerto design, build, and operate scalablebatch and real-time data pipelinesonGoogle 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 maintainbatch and real-time ETL/ELT pipelineson GCP
• Build and optimize data pipelines usingPython
• Implement streaming solutions usingPub/Sub and Dataflow
• Develop and manage batch workflows usingCloud Composer
• Design and optimize data models and queries inBigQuery
• Work with large-scale, low-latency data stores such asBigtable
• Ensure data quality, reliability, performance, and scalability
• Manage source code, reviews, and collaboration usingGitHub
• Build and maintainCI/CD pipelines using GitHub Actions
• Collaborate with product, platform, and analytics teams in an Agile setup

Required Skills & Qualifications

• Strong hands-on experience withGoogle Cloud Platform (GCP)
• Proven expertise inbatch and real-time data pipelines
• Strong programming experience inPython, PySpark
• Hands-on experience withBigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer
• Solid understanding ofdata modeling, ETL/ELT, and distributed data systems
• Proficiency withGitHubandGitHub Actionsbased CI/CD
• Experience working inAgile environments
• Strong knowledge ofdata security and access management

Behavioral Expectations

• Strongownership, accountability, and delivery focus
• Self-drivenand proactive problem solver
• Excellentteam playerwith 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