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.