GCP Data Engineer

Actively Reviewing the Applications

SWITS DIGITAL Private Limited

India, Tamil Nadu, Chennai Full-Time On-site INR 4–7 LPA

Posted 3 weeks ago • Apply by June 15, 2026

Job Description

Greetings from Smart Work IT Services.

We are hiring for the below role,

Role: GCP Data Engineer

Location: Bangalore / Chennai

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Company digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions

Core Responsibilities

Data Engineering & Cloud Development (Core Responsibilities)
Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).
Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.
Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.
Optimize pipelines for performance, scalability, cost efficiency, and reliability.
Ensure robust monitoring, alerting, and data quality assurance across distributed systems.
Implement secure data architectures following Company standards.
Collaboration & Analytics Enablement
Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.
Support analytical use cases, data modelling, and enable self‑service data consumption.
Partner across global teams, including business stakeholders, product owners, and data governance.
DevOps / Platform Engineering Partnership
Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.
Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.
Collaborate on environments, pipelines, and promote code through dev → test → prod.
Engineering Excellence & Ways of Working
Participate in code reviews and maintain global coding standards.
Follow structured engineering methods, documentation practices, and release processes.
Contribute effectively in distributed, agile development teams across multiple time zones.
Communicate clearly with both technical and non‑technical stakeholders.
Innovation & Continuous Improvement
Research, evaluate, and propose new tools, technologies, and design patterns.
Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.
Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Experience Requirements

7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.
5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.
3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.
Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.
Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.
Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.
Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.
Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.
Demonstrated experience working in global, cross‑functional, and agile development environments.
Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.
GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Qualifications

Education Requirements