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Senior Software Development Engineer - Data Engineering (Adtech)

JioStar
Bengaluru, IND
Senior · 4–6 years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

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
  • Skills and attributes for success:
  • 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
  • Preferred education and experience:
  • Bachelors/master's in computer science or a related field with 4-6 years of experience in backend development.

Qualifications

  • Hands-on experience with Apache Spark (batch & streaming) for large-scale data processing
  • Familiarity with cloud-based big data solutions (AWS EMR, GCP BigQuery, Databricks, etc.)
  • Familiarity with scheduling services like AirFlow

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