Google Data Engineer

Role: Google Data Engineer

Skill: sql,nosql,etl

Experience: 7 to 12 years

Location: Bangalore

Job Description:

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• Experience level of 3 to 5 years in data engineering, data warehousing, or a related field.
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• Experience with dashboarding tools like plx dashboard and looker studio %CF; Experience with building data pipelines, reports, best practices and frameworks.
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• Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications).
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• Experience with code refactoring for optimal performance.
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• Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
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• Familiarity with non-relational data storage systems (NoSQL and distributed database management systems).
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Skills

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

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• 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.
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• 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.
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• Cloud Infrastructure: Leverage Google Cloud and other internal storage platforms to build and manage scalable and cost-effective data storage and processing solutions.
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• Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data.
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