GCP Data Pipeline Engineer

Company Description

Zilo AI is a prominent manpower service provider dedicated to connecting businesses with highly skilled and dependable professionals across various industries. With a deep understanding that talent drives success, Zilo AI is committed to supplying the right expertise to support business growth. Our focus on talent optimization ensures that clients receive tailored solutions to meet their business needs. Joining Zilo AI provides an opportunity to work within a forward-thinking organization that values innovation and excellence.

We Are Hiring : Data Engineer (Google Cloud Platform)

Location : Tier 1 Cities-On-site ( Mumbai, Delhi, Bengaluru, Chennai, Hyderabad, Kolkata, Pune and Ahmedabad)

Are you a Data Engineer with strong hands-on experience in Google Cloud Platform (GCP) and large-scale distributed data pipelines?

We are looking for a highly skilled professional who can design, build, and maintain production-grade data systems using Spark, PySpark, BigQuery, GCS, and modern orchestration tools.

If you thrive in complex data environments and enjoy optimizing large-scale pipelines, this is the role for you.

Role : Data Engineer (GCP – Spark / PySpark / BigQuery)

As a Data Engineer, you will build and scale our cloud-native data ecosystem, develop robust ETL / ELT pipelines, and enable advanced analytics across the organization. You will work closely with data architects, analysts, and product teams to deliver high-impact data solutions.

Mandatory Skill Sets (Must-Have Experience)

Google Cloud Platform (GCP) Expertise

• Hands-on experience working with Google Cloud Platform
• Experience using GCS (Google Cloud Storage) in data pipelines
• Experience with BigQuery for data modeling or analytics
• Experience running data processing jobs using DataFlow or DataProc
• Familiarity with Stackdriver / Cloud Logging for monitoring and logging
• Holding a GCP Certification is a strong plus

Spark / PySpark & Distributed Processing

Ingesting CSV → cleaning fields → adding full_name column → writing Parquet output

Data Pipeline Development

Data Modelling & Storage

Data Quality, Analytics & SQL

Responsibilities

Preferred Qualifications

What We Offer

How to Apply

If you're excited to work on cutting-edge cloud data engineering challenges, we’d love to review your application. Please apply with your updated resume by filling up this short Form

Form Link : https : / / forms.Gle / r9idZQLeuy8vwNYX6