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.