Google Data Engineer

Role: Google Data Engineer

Skill: sql,nosql,etl

Experience: 7 to 12 years

Location: Bangalore

Job Description:

• Experience level of 3 to 5 years in 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.

Responsibilities

• Data Pipeline Development: Design, implement, and maintain robust and scalable data pipelines to extract, transform, and load data from various sources into our data warehouse or data lake.
• Data Modeling and Warehousing: Collaborate with data scientists and analysts to design and implement data models that optimize query performance and support complex analytical workloads.
• Cloud Infrastructure: Leverage Google Cloud and other internal storage platforms to build and manage scalable and cost-effective data storage and processing solutions.
• Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data.