GCP Data Engineer

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Greetings from QUESS Corp Limited !!!

Location : Bangalore, Hyderabad, Chennai

About the Company

About QUESS Corp Limited : Established in 2007 and headquartered in Bengaluru, Quess is one of India’s largest private-sector employers and integrated business service providers. The company has a presence in over 64 locations across India, Southeast Asia, and North America, with a strength of 500,000+ employees. We provide a host of technology-enabled staffing and managed outsourcing services across processes such as sales & marketing, customer care, after-sales service, back-office operations, manufacturing operations, facilities and security management, HR & F&A operations, IT & mobility services, etc. Our business strategy is aligned with our goal of creating a more productive workforce. It includes training and skill development initiatives for better employability, helping job seekers find job opportunities easily, digitising workflows, and providing social security benefits to a wider employable population. Quess has been certified ‘Great Place to Work’ thrice in a row in recognition of its culture that supports diversity, equal opportunity, and collaboration. Learn more about how we drive productivity and achieve success for our clients.

About the Role

We are seeking a mid-level GCP Data Engineer with 7+years of experience in GCP, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP tools, solid data analysis skills, and a strong understanding of Data Warehousing principles.

Job Title : Data Engineer

Experience : 7–10 Years

Location : Bangalore (Onsite)

Interview Mode : F2F Drive on 11th November 2025

Key Skills : Airflow, Cloud Composer, GCP, Python

About the Role

We are seeking an experienced Data Engineer with strong expertise in building, managing, and optimizing data pipelines on Google Cloud Platform (GCP) using Airflow / Cloud Composer . The ideal candidate will have hands-on experience in developing scalable data workflows, automation, and end-to-end pipeline orchestration using Python and cloud-native tools.

Key Responsibilities

Design, develop, and deploy scalable ETL / ELT data pipelines on GCP.

Work extensively with Airflow and Cloud Composer for workflow scheduling, orchestration, and automation.

Build robust data ingestion frameworks using Python and cloud storage services.

Optimize existing pipelines for performance, reliability, and cost efficiency.

Collaborate with data architects, analysts, and cross-functional teams to understand business requirements and deliver data solutions.

Implement data quality checks, monitoring, logging, and alerting for pipelines.

Ensure adherence to best practices in cloud engineering, security, and data governance.

Troubleshoot pipeline failures, performance issues, and production incidents.

Contribute to design reviews, code reviews, and documentation.

Required Skills & Qualifications

7–10 years of hands-on experience as a Data Engineer.

Strong expertise in Airflow and Cloud Composer (must-have).

Proficiency in GCP services such as BigQuery, GCS, Cloud Functions, Pub / Sub, Dataflow, etc.

Strong programming skills in Python , including writing modular, optimized, and production-grade code.

Solid understanding of SQL and database concepts.

Experience with CI / CD, version control (Git), and DevOps practices is preferred.

Strong problem-solving and debugging skills.

Ability to work in a fast-paced, collaborative environment.

Interview Details (Mandatory F2F)

F2F Drive Date : 11th November 2025

Location : Cardinal Health Office, RMZ Ecospace, Bellandur, Bangalore

Time : Between 2 PM – 6 PM

Candidates must be available for the F2F drive .

Pay range and compensation package

Max Budget till 26-27 LPA (fixed)

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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