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 8–10 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:
- 8–10 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.