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GCP Data Engineer

Roles & Responsibilities

  • Strong experience with Python and PySpark for data engineering
  • Experience with Google Cloud Platform (GCP)
  • Strong experience with relational SQL databases
  • Experience with data transformation tools (DBT)

Requirements:

  • 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

Job description

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

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