GCP Data Engineer (Senior Level)
Position Overview
We are seeking an experienced
GCP Data Engineer (Senior Level) with
7+ years of expertise in
ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP technologies, strong data analysis and design skills, and a deep understanding of modern Data Warehousing and Data Engineering principles.
Qualifications
- Experience: 7+ years in ETL and Data Warehousing.
- Proven experience in developing Data Engineering solutions using:
- Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.
- Hands-on experience with automation in ETL tools and GCP services.
- Successfully executed at least two end-to-end GCP Cloud Data Warehousing projects.
- Experience in Agile/SAFe project delivery methodologies (minimum two projects).
- Proficiency in PySpark and Teradata (mid to advanced level).
- Working knowledge of DevOps tools such as GitHub, Jenkins, and Cloud Native services.
- Experience handling semi-structured data formats (JSON, Parquet, XML).
- Strong ability to write and optimize complex SQL queries for data analysis and extraction.
- In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality, and Data Mapping.
- Excellent leadership, communication, and collaboration skills.
Certifications
- Google Cloud Professional Data Engineer Certification (preferred).
