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