Walk-in || Gcp Data Engineer

Role & responsibilities

Python, SQL, PySpark GCP, Snowflake, Airflow, Jenkins / Jira / Git, CI-CD, Kubernetes / Docker

Preferred candidate profile

Must-Have • Strong development experience in Python, PySpark, SQL • Experience with cloud platforms (GCP preferred /Azure) • Experience working in Agile delivery environment. • Experience with orchestration tools like Airflow, ADF. • Experience with GCP services (GCS Bucket, Cloud Functions, Dataproc, Dataflows, Pub-Sub, Big Query). • Handson experience in Snowflake. • Experience building automated data pipelines. • Experience performing data analysis and data exploration. • Experience working in multi-developer environment, using version control like Git. • Strong critical thinking, communication, and problem-solving skills.

Good-to-Have • Understanding DevOps best practice and CICD • Understanding of containerization (i.e. Kubernetes, Docker) • Healthcare Domain knowledge