GCP Data Engineer

Role: GCP Data Engineer (Mid-Level)

Position Overview:

We are seeking a mid-level GCP Data Engineer with 4+ years of experience in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP tools, solid data analysis skills, and a strong understanding of Data Warehousing principles.

Qualifications:

·       4+ years of experience in ETL & Data Warehousing

·       Should have excellent leadership & communication skills

·       Should have experience in developing Data Engineering solutions Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.

·       Should have built solution automations in any of the above ETL tools

·       Should have executed at least 2 GCP Cloud Data Warehousing projects

·       Should have worked at least 2 projects using Agile/SAFe methodology

·       Should Have mid-level experience in Pyspark and Teradata

·       Should have working experience on any DevOps tools like GitHub, Jenkins, Cloud Native, etc & on semi-structured data formats like JSON, Parquet and/or XML files & written complex SQL queries for data analysis and extraction

·       Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping

Education: B.Tech. /B.E. in Computer Science or related field.

Certifications: Google Cloud Professional Data Engineer Certification