Data Engineer

We are looking for a highly skilled Data Engineer. The ideal candidate will have hands-on expertise in Big Data technologies, with a strong foundation in distributed data processing, real-time pipelines, and large-scale data systems. You will design, build, and optimize data solutions that power insights, reporting, and decision-making for our advertising ecosystem.

• Design, develop, and maintain large-scale data pipelines to support Ads reporting, attribution, and analytics use cases.
• Work extensively with Hive, Spark, SQL, Scala, and Kafka to process and manage petabyte-scale datasets.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Partner with data scientists, product managers, and platform engineers to deliver high-quality, reliable datasets and APIs.

• Ensure data quality, integrity, and consistency across multiple data sources.
  Troubleshoot and resolve issues in real-time streaming pipelines and batch data jobs.

• Continuously evaluate new technologies to enhance the Ads Data platform.
  

• Strong programming experience in Scala (preferred), Java, or Python.
• Hands-on experience with Apache Spark (batch & streaming) for large-scale data processing.
• Proficiency in Hive, SQL, and data modeling for analytical workloads.
• Experience working with Kafka for real-time event streaming.
• Solid understanding of Big Data ecosystems (S4, Hive, Presto, Delta etc.).
• Strong debugging, performance tuning, and problem-solving skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• Experience in AdTech, Attribution, or Campaign Analytics.
• Familiarity with cloud-based big data solutions (AWS EMR, GCP BigQuery, Databricks, etc.).
• Familiarity with scheduling services like AirFlow
• Knowledge of data governance, security, and compliance best practices.

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.