Data Engineer (Immediate Joiner)

Data Engineer.

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

• 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