We're looking for a passionate and skilled SDE3 Data Engineer to join our Accelerate Platform team in Mobi's flagship SMB-facing AdTech and E-commerce optimization platform. You'll build scalable, real-time data pipelines that power ML models, campaign optimizations, and attribution across Google, Meta, TikTok, and other ad networks.

Responsibilities :

- Design, implement, and optimize real-time and batch data pipelines using Spark, Kafka, Airflow, etc.

- Ingest and normalize data from multiple ad networks (Google Ads, Meta, TikTok) and e-commerce platforms (Shopify, Wix).

- Ensure high-quality, reliable, and fault-tolerant data delivery to downstream systems and ML models.

- Contribute to data modeling and schema design for high-throughput analytical use cases.

- Collaborate with ML engineers, backend teams, and product managers to meet platform requirements.

- Participate in code reviews, data validation, and unit/integration test automation.

Requirements :

- 5 - 8 years of hands-on experience in data engineering at scale.

- Strong programming skills in Java, Python, or Scala.

- Proficiency with distributed data processing tools like Apache Spark, Beam, or Flink.

- Experience with Kafka, Airflow, Hive/Presto/Trino, and data lake solutions (S3/Delta/Iceberg).

- Good understanding of SQL, data quality practices, and CI/CD for data pipelines.

- Bonus : Experience with ad tech data formats, attribution models, or campaign analytics.