Description

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:

  • University or advanced degree in engineering, computer science, mathematics, or a related field
  • 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 skills

Key Skills
Education

Any Gradute

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