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Il y a 2 mois
As a Senior Data Engineer at DoubleVerify, you will play a critical role in developing and maintaining our data pipeline, ensuring seamless communication between our platform and partners. Your expertise will be instrumental in making our partners' data available to other teams, and contributing to the development of a reverse ETL for uploading Scibids models.
Key Responsibilities- Design and implement ETL jobs to ingest diverse and volumetric data from various sources, including APIs and files in CSV, Avro, and Parquet formats.
- Collaborate with the team to develop a reverse ETL for uploading Scibids models, ensuring accurate and efficient data transfer.
- Develop APIs and libraries to facilitate inter-team communication and data exchange.
- Proficiency in Python and Prefect.
- Experience with Google Cloud Environment, BigQuery, Cloud SQL, Google Cloud Datastore, and Cloud Run.
- 3+ years of experience as a data engineer.
- Advanced knowledge of one or several programming languages.
- SQL and Python proficiency.
- Ability to learn new coding languages as needed.
- Professional experience working with large datasets.
- Experience with distributed and parallel systems, information retrieval, and developing large software systems.
- Conducting regular technology watch on data-related subjects.
DoubleVerify is a global leader in AI-powered digital campaign activation, empowering global brands to drive specific KPIs and tangible outcomes more effectively. Our technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms. We offer a dynamic, inclusive environment where innovation and teamwork are celebrated. If you are looking to make a significant impact in the digital marketing sphere and lead a talented team towards groundbreaking achievements, we would love to hear from you.
