Associate Staff Engineer, Big Data Engineer (LookML & Looker Studio Pro)
Associate Staff Engineer, Big Data Engineer (LookML & Looker Studio Pro)
Posted on :
20-08-2025
Employer Active
1 Vacancy
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Job Description
REQUIREMENTS:
- Total Experience 5 years
- Strong experience with Google Cloud Platform (GCP) including data services and analytics tools
- Strong expertise in LookML and Looker Studio Pro with proven experience building scalable dashboards and data models
- Proficiency in working with relational databases such as PostgreSQL and NoSQL systems like MongoDB and Kafka
- Solid understanding of Big Data ecosystems including tools like Hadoop Hive/Pig and Trino
- Experience writing and optimizing queries in SQL MQL HQL or similar query languages
- Demonstrated ability to build and maintain data pipelines for large-scale data processing
- Familiarity with CI/CD tools and version control systems such as Git
- Exposure to Agile methodologies and collaborative development environments is a plus
- Excellent communication and stakeholder engagement skills
RESPONSIBILITIES:
- Design develop and maintain LookML models and Looker Studio Pro dashboards to support business intelligence needs
- Collaborate with data engineering teams to build robust data pipelines and ensure data quality across systems
- Translate business requirements into scalable data solutions using GCP-native tools and services
- Optimize query performance and dashboard responsiveness for end-users
- Integrate data from various sources including relational and NoSQL databases into unified reporting layers
- Participate in code reviews data model audits and ensure adherence to best practices in analytics development
- Support pre-sales and technical discussions for internal and client-facing data initiatives
- Contribute to thought leadership through documentation internal knowledge sharing and innovation in dashboard design
- Troubleshoot and resolve complex data integration or visualization issues
- Mentor junior team members and foster a collaborative data-driven culture
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Department / Functional Area
Key Skills
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