Software Engineer - Data

Overview

Software Engineer (Data) to build and scale core backend systems and data infrastructure, focusing on data pipelines, storage, and robust architectures for healthcare advertising products.

What you'll do

• Develop, test, and maintain reliable, scalable, cost-optimized distributed systems and data architectures.
• Create automated ingestion, storage, and transformation pipelines for downstream dataset access.
• Design and operate data pipelines supporting workflows of Data Scientists and Machine Learning Engineers.
• Implement DataOps and DevOps practices to improve reliability and deployment smoothness.
• Help establish and refine formal data practices, architectures, and engineering standards.
• Collaborate with stakeholders, product teams, analysts, and engineers to translate needs into technical solutions.

What you'll need

• Bachelor’s degree in Computer Science, IT, Engineering, or related technical discipline.
• 1+ years of professional experience building and operating configurable data pipelines for high-volume, high-velocity datasets.
• Hands-on experience with public cloud environments (GCP or AWS).
• Experience with open-source Apache frameworks (e.g., Spark, Airflow) and analytical databases (e.g., BigQuery, ClickHouse).
• Polyglot programming skills including Java (Spring Boot), SQL, and Python.
• Knowledge of software engineering principles, Agile methodologies, and DataOps.
• Clear verbal and written communication skills for technical and non-technical collaboration.

Details

• Location: Pune, India.
• Work options described as hybrid-friendly/flexible for India-based team.