- We are seeking a highly skilled Data Engineer to design, develop and optimize scalable data pipelines and solutions on Google Cloud Platform (GCP).

- The ideal candidate will have strong expertise in BigQuery, SQL, Python/Java and hands-on experience in building robust data pipelines to support advanced analytics and business intelligence.

- Design, develop and maintain scalable data pipelines and ETL/ELT processes.

- Work extensively on GCP services including BigQuery, Cloud Storage, Dataflow, Pub/Sub and Composer.

- Optimize data models and queries for performance and cost efficiency in BigQuery.

- Collaborate with data analysts, data scientists and business stakeholders to understand data requirements.

- Ensure data quality, governance and security across all data pipelines and storage systems.

- Troubleshoot and resolve data pipeline issues in real time.

- Contribute to architecture design discussions and provide best practices for data engineering.

Key Responsibilities :

- Strong hands-on experience with Google Cloud Platform (GCP) particularly BigQuery.

- Proven expertise in building and maintaining data pipelines.

- Strong SQL skills for query optimization and large-scale data manipulation.

- Proficiency in Python or Java for developing scalable ETL/ELT solutions.

- Good understanding of data modeling partitioning and performance tuning.

- Experience with workflow orchestration tools e. Airflow/Cloud Composer is a plus.

- Familiarity with CI/CD version control Git and agile methodologies.

This salary range is an estimation made by beBee