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