GCP Big Data Engineer (Full-time at a Fortune 500 tech MNC )

Job Summary

We are looking for an experienced and motivated GCP Big Data Engineer to join our team in a leadership capacity . The ideal candidate will have 5 years of relevant experience in data engineering, with a strong focus on Google Cloud Platform (GCP) , SQL , PySpark , and ETL processes . This role requires strong technical expertise and leadership capabilities to guide and mentor a team of engineers while ensuring high-quality data solutions.

Key Responsibilities:

Design, develop, and maintain scalable and efficient data pipelines on Google Cloud Platform (GCP) . Work with PySpark to process large-scale datasets and optimize performance. Write complex and efficient SQL queries for data extraction, transformation, and analysis. Lead the implementation of ETL workflows and ensure data accuracy, completeness, and integrity. Collaborate with cross-functional teams including data analysts, architects, and product managers to define data needs. Provide technical leadership, mentorship, and code reviews for junior engineers. Drive best practices for data engineering and cloud-based data processing.

Required Skills & Qualifications:

5 years of experience in Data Engineering roles. Proven experience with Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Cloud Storage). Strong programming skills in PySpark and Python . Advanced proficiency in SQL and working with large, complex datasets. Deep understanding of ETL frameworks and data pipeline orchestration. Experience leading or mentoring teams in a technical capacity. Excellent communication and problem-solving skills.

Preferred Qualifications

GCP Certification (e.g., Professional Data Engineer) is a plus. Experience with CI/CD pipelines and data pipeline automation. Familiarity with Agile/Scrum methodologies.