SDE II - Data Engineer.

Responsible for building, maintaining, and optimizing scalable data pipelines that support programmatic advertising, campaign analytics, audience targeting, and attribution on InMobi’s Demand‑Side Platform.

• Develop, maintain, and optimize end‑to‑end batch and streaming data pipelines for event streams like bid requests, impressions, clicks, and conversions.
• Build data ingestion and transformation workflows using Python, SQL, Spark/PySpark, and related frameworks.
• Implement data quality checks, schema validation, error handling, and monitoring to ensure data accuracy and reliability.
• Support data modeling and query optimization for analytical and reporting workloads.
• Work with distributed processing technologies such as Apache Kafka, Spark Structured Streaming, and Flink.
• Collaborate with backend, product, and ML engineering teams to deliver reliable data solutions.
• Use workflow orchestration tools (e.g., Apache Airflow) to schedule, monitor, and manage pipelines.
• Participate in code reviews, testing, deployment, and continuous improvement initiatives.

• 2–5 years of experience in software or data engineering.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Strong programming skills in Python and SQL.
• Hands‑on experience with Apache Spark/PySpark and distributed data processing.
• Experience building and maintaining ETL/ELT pipelines for batch and streaming data.
• Familiarity with workflow orchestration tools such as Apache Airflow.
• Knowledge of data modeling, partitioning, schema evolution, and data quality practices.
• Exposure to cloud data services (AWS, GCP, or Azure) and data lakehouse architectures.