GCP Data Engineer

GCP Data Engineer YoE: 5+ Years Mandatory Skills Python, Pyspark, GCP, SQL, DBT Responsibilities: Establish scalable, efficient, automated processes for data analysis, data model development, validation, and implementation. Work closely with analysts/data scientists to understand impact to the downstream data models. Write efficient and well-organized software to ship products in an iterative, continual release environment. Contribute to and promote good software engineering practices across the team. Communicate clearly and effectively to technical and non-technical audiences. Minimum Qualifications: Experience with at least one cloud provider solution (GCP preferred) Strong experience working with relational SQL databases. Strong experience with object-oriented/object function scripting language: Python. Working knowledge in any transformation tools, DBT preferred. Ability to work with Linux platform. Strong knowledge of data pipeline and workflow management tools (Airflow) Working knowledge of Git hub /Git Toolkit Expertise in standard software engineering methodology, e.g. unit testing, code reviews, design documentation Experience creating Data pipelines that prepare data for ingestion & consumption appropriately. Experience in maintaining and optimizing databases/filesystems for production usage in reporting, analytics. Working in a collaborative environment and interacting effectively with technical and non-technical team members equally well. Good verbal and written communication skill