Data Engineer
Aim4HireFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires strong SQL querying skills, 1+ years of SQL experience, 1+ years Linux environment experience, 1+ years scripting in Python and Bash, and a good understanding of BI and Data Warehousing concepts like ETL, OLAP vs. OLTP, and Slowly Changing Dimensions.
You will work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, and data analysis tools such as Grafana for reports and visualization, while scripting extensively in Python and SQL.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates demonstrate the ability to quickly adapt and learn new skills, strong analytical and problem-solving abilities, proactive execution of multiple tasks, excellent interpersonal skills for building relationships with cross-functional teams, and proven troubleshooting in complex systems.
Digital advertising verification and analytics services
DoubleVerify ensures the quality and effectiveness of digital advertising for major brands. The company provides verification and analytics services that help brands, advertisers, platforms, and publishers confirm that their ads are seen by real people, are placed in safe environments, and effectively reach their target audiences. Their services include checking ad viewability, preventing fraud, and ensuring brand safety by using advanced technology and dedicated teams to identify and combat fraud schemes. Unlike many competitors, DoubleVerify focuses on providing comprehensive analytics that help clients maximize their advertising budgets and improve returns on investment. The goal of DoubleVerify is to enhance the trust and effectiveness of digital advertising, making it a reliable channel for brands to connect with consumers.