Google Data Engineer

Role & responsibilities

• data engineering, data warehousing, or a related field.
• Experience with dashboarding tools like plx dashboard and looker studio Experience with building data pipelines, reports, best practices and frameworks.
• Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications).
• Experience with code refactoring for optimal performance.
• Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
• Familiarity with non-relational data storage systems (NoSQL and distributed database management systems).

Skills

• Strong proficiency in SQL, NoSQL, ETL tools, BigQuery and at least one programming language (e.g., Python, Java).
• Big Query,Data Flow,Data Proc,Cloud Sql,Teraform etc
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with data modeling techniques and methodologies.
• Proficiency in troubleshooting and debugging complex data-related issues. 
• Ability to work independently and as part of a team.