Staff Software Development Engineer

1 day ago

Bengaluru, IndiaStaff+

Responsibilities

Design, develop, and maintain large-scale data pipelines for advertising reporting, attribution, and analytics.
Use 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 reliable datasets and APIs.
Ensure data quality, integrity, and consistency across multiple data sources.
Troubleshoot real-time streaming pipelines and batch data jobs.
Evaluate technologies that can improve the Ads Data platform.
Lead large-scale projects, shape system architecture, and mentor other engineers.

Strong programming experience in Scala, Java, or Python, with Scala preferred.
Hands-on experience with Apache Spark for batch and streaming data processing.
Proficiency in Hive, SQL, and data modeling for analytical workloads.
Experience with Kafka for real-time event streaming.
Understanding of big-data ecosystems including S4, Hive, Presto, and Delta.
Strong debugging, performance-tuning, and problem-solving skills.
Bachelor’s or master’s degree in computer science, engineering, or a related field.
Experience in AdTech, attribution, or campaign analytics.
Familiarity with cloud-based big-data solutions such as AWS EMR, GCP BigQuery, and Databricks.
Familiarity with scheduling services such as AirFlow.
Knowledge of data governance, security, and compliance best practices.
Bachelor’s or master’s degree in computer science or a related field with 6–9 years of backend development experience.

501-1,000 employees

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