- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 21 hours ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Any graduate can apply for this position.
- Resume
- Required to apply
Where you'll work
Job description
Role Overview
We are seeking a skilled GCP Data Engineer to design and implement robust, scalable data pipelines and processing solutions using Google Cloud technologies. This role demands in-depth knowledge of BigQuery, Dataflow, PySpark/Python, SQL, and Cloud Storage.
Key Responsibilities
- Develop efficient and scalable data processing pipelines on Google Cloud Platform.
- Utilize BigQuery for advanced data querying and analytics.
- Leverage Dataflow and PySpark/Python for data transformation and integration tasks.
- Manage data storage solutions using Cloud Storage services.
Additional Skills and Experience
- Familiarity with Dataproc clusters for managed Spark and Hadoop services.
- Experience using Composer (Airflow) to orchestrate workflow pipelines.
- Working knowledge of Pub/Sub messaging service for event-driven data processing.
- Understanding of CI/CD practices for data pipeline deployment.
- Experience with ETL/ELT processes and cloud data warehousing methodologies.
- Knowledge of data modeling techniques is considered a plus.
Eligibility
Applicants should hold at least a graduate degree in any discipline.