GCP Data Engineer

The Role

We are seeking an experienced GCP Data Engineer to design, build, and optimize scalable cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in developing batch and real-time data pipelines, implementing data lake and data warehouse solutions, and enabling data-driven analytics and AI/ML initiatives. The role involves close collaboration with architects, data scientists, business analysts, and application teams to deliver high-quality, secure, and reliable data solutions

Your responsibilities:

• Build batch and streaming data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Functions.

• Develop reusable and optimized data processing solutions using PySpark and Python.

• Implement orchestration workflows using Cloud Composer (Apache Airflow).

• Ensure data quality, integrity, lineage, and governance across data platforms.

• Implement partitioning, clustering, and performance tuning strategies in BigQuery.

• Manage structured, semi-structured, and unstructured data processing requirements.

• Implement IAM policies, data security controls, and compliance requirements.

• Participate in technical design discussions, code reviews, and solution governance meetings.

Your Profile

Essential skills/knowledge/experience:

• Google Cloud Platform (GCP)

• BigQuery

• Dataproc

• Cloud Composer (Airflow)

• Pub/Sub

• Dataflow

• Cloud Storage

• Python

• PySpark

• SQL

• Terraform

• Git, CI/CD

Desirable skills/knowledge/experience:

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management capabilities.

• Ability to work in global and multi-vendor environments.

• Experience delivering solutions for data modernization and cloud migration initiatives.