Software Engineer – Ads Data

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October 27

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Proximity Works

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Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• - 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

• - **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.