Remote Senior Business Intelligence Engineer
Integral Ad Science
πRemote - United States
Please let Integral Ad Science know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join our growing team as a Senior BI Engineer and contribute to the development of video ad verification, analytics, and anti-ad fraud software products. You will design, develop, and maintain BI solutions, work with cross-functional teams, and stay up-to-date with the latest BI technologies and trends.
Requirements
- Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering or related field
- 7+ years of recent hands-on experience in BI development
- In-depth understanding of Looker
- Solid experience in building dashboards and visualizations
- Strong understanding of SQL, Data modeling and ETL
- Strong knowledge of various data formats such as Parquet, JSON, CSV, Avro
- Experience using Big Data frameworks and platforms (e.g., Hadoop, Spark, Databricks), databases (e.g., RedShift, Snowflake) for complex data assembly and transformation
- Experience in full software development, Agile, and CI/CD
- Experience building production level systems in a cloud environment (AWS, Azure or GCP)
- Excellent communication, presentation skills along with problem solving and analytical skills
Responsibilities
- Architect, design, code and maintain dashboards, models, queries on Looker connecting to Databricks / Snowflake / S3
- Work with business users, product owners, data scientists and engineers, front end teams to understand their needs and translate them into technical requirements
- Contribute to the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation on data models, queries, dashboards
- Provide leadership, work collaboratively, support on how to use BI tools, and be a mentor in an awesome team
- Stay up-to-date with the latest on BI technologies and trends
Preferred Qualifications
- Looker certification
- Familiarity with Databricks and Snowflake
- Experience with JDBC and SQL
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