1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain large-scale data pipelines for advertising reporting, attribution, and analytics.
- Process and manage petabyte-scale datasets using Hive, Spark, SQL, Scala, and Kafka.
- 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 new technologies to improve the advertising data platform.
Requirements
- 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 is preferred.
- Familiarity with AWS EMR, GCP BigQuery, Databricks, and scheduling services such as Airflow is preferred.
- Knowledge of data governance, security, and compliance best practices.
- Bachelor’s or master’s degree in computer science or a related field with 4–6 years of backend development experience.
Benefits
- Full-time, onsite role in Bangalore.
- JioStar is an equal opportunity employer committed to a diverse and discrimination-free workplace.
Tech Stack
Apache AirflowApache HiveApache KafkaApache SparkAWSDatabricksGoogle Cloud PlatformJavaPrestoPythonScalaSQL
Categories
BackendData Engineering
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