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Data Engineer - Google Cloud Platform

Xohani Solutions Pvt. Ltd.
5 - 15 Years
Multiple Locations

Posted on: 12/08/2026

Job Description

GCP Data Engineer 5+ Years

Location: Bangalore / Pune / Hyderabad / Bhubaneswar / Chennai / Coimbatore

Experience: 5+ Years

Work Mode: Hybrid

Notice Period: Immediate Joiners to 30 Days preferred

About the Role:

We are looking for experienced GCP Data Engineers to build and maintain scalable data pipelines, data processing solutions and cloud data platforms. The ideal candidate should have strong hands-on experience with Python, SQL, BigQuery and Spark/PySpark/Apache Beam.

Key Responsibilities:

- Design and develop scalable data pipelines on Google Cloud Platform.

- Build data ingestion and ETL/ELT solutions using Python and SQL.

- Work with large datasets and develop pipelines from source systems to data warehouses, databases and data lakes.

- Design and optimize solutions using Google BigQuery.

- Develop data processing solutions using Apache Spark, PySpark or Apache Beam.

- Work with GCP services such as Dataflow, Dataproc, Cloud SQL, GCS and Pub/Sub.

- Develop and maintain data integration and ETL processes.

- Troubleshoot data pipeline and production issues.

- Work with technical teams and business stakeholders to understand requirements.

- Ensure scalability, performance, reliability and data quality.

Must-Have Skills:

- 5+ years of experience in Data Engineering.

- Strong hands-on experience with Python and SQL.

- Experience with Apache Spark / PySpark / Apache Beam.

- Strong experience with Google BigQuery.

- Experience with at least one of:

1. MySQL

2. PostgreSQL

3. SQL Server

Good to Have:

- Dataflow / Dataproc.

- Cloud SQL.

- Cloud Composer / Workflows.

- Google Cloud Storage (GCS).

- Pub/Sub.

- Data Catalog.

- Experience with cloud data lakes and data warehousing.

- CI/CD and DevOps experience.

Education :

B.E / B.Tech or equivalent qualification.

What We're Looking For :

Strong technical and analytical skills, good communication and the ability to work with cross-functional teams in a client-facing environment. Hybrid working model with occasional travel to client locations.

The job is for:

May work from home
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