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# SDE 2

- **Company:** InMobi
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Validation, Data Infrastructure, Software Debugging, Python (Programming Language), Metadata, Query Optimization, Prometheus, SQL Databases, Data Streaming, Data Logging, Grafana, Apache Spark, Git, Data Lakes, Pyspark, Kubernetes, Apache Flink, Apache Kafka, Terraform, Stream Processing, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://job-boards.greenhouse.io/inmobi/jobs/7956882

## About the Role

* 3-6 years in data/platform engineering
 * Strong fundamentals: SQL, data modeling, partitioning, optimization
 * Hands-on with Spark (PySpark/Scala); exposure to Flink is a plus
 * Experience with Airflow (or similar orchestration tools)
 * Familiarity with data lake formats (Iceberg/Delta/Hudi)
 * Working knowledge of Kubernetes & cloud (GCP/AWS/Azure)
 * Programming: Python (must-have), Scala (good-to-have)
 * Exposure to CI/CD, Git, and IaC (Terraform/Helm basics), * Kafka / streaming systems experience
 * DBT, Great Expectations, or similar tools
 * Observability tools (Prometheus, Grafana)
 * Metadata/catalog tools (OpenMetadata/DataHub), * Delivers reliable, production-ready pipelines
 * Improves performance and platform usability
 * Strong ownership, debugging, and collaboration skills

## Description

* Build and maintain scalable data pipelines (batch & streaming) using Spark/Flink
 * Develop integrations across Airflow, Iceberg, and cloud platforms
 * Apply best practices in data modeling, partitioning, and query optimization
 * Support Kubernetes-based data platform workloads and troubleshoot issues
 * Optimize pipelines for performance, cost, and reliability
 * Implement monitoring, logging, and data quality checks
 * Participate in on-call and incident resolution


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