Software Engineer - Data
Build and operate scalable backend systems, data pipelines, storage solutions, and architectures supporting healthcare advertising products, analytics, and machine learning workflows. The role requires at least one year of data engineering experience, cloud proficiency, and strong Java, SQL, and Python skills.
About the job
Responsibilities
- Develop, test, and maintain reliable, scalable, and cost-optimized distributed systems and data architectures.
- Create automated ingestion, storage, and transformation pipelines for downstream data access.
- Design and operate data pipelines supporting Data Scientist and Machine Learning Engineer workflows.
- Implement and champion DataOps and DevOps practices to ensure system reliability and smooth deployments.
- Establish and refine data practices, architectures, and engineering standards.
- Collaborate with business stakeholders, product teams, analysts, and senior engineers to translate business needs into technical solutions.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
- 1+ years of professional experience designing, building, and operating configurable data pipelines handling high-volume and high-velocity datasets.
- Experience working in public cloud environments, such as Google Cloud or AWS.
- Familiarity with Apache frameworks such as Spark and Airflow.
- Experience with analytical databases such as BigQuery and ClickHouse.
- Strong coding skills in Java, Spring Boot, SQL, and Python.
- Understanding of software engineering principles, Agile methodologies, DataOps, and architecture optimization for cost and performance.
- Clear verbal and written communication skills and the ability to collaborate with technical and non-technical stakeholders.
Compensation and Benefits
- India-based employees receive a competitive base salary plus performance-based bonus, comprehensive medical insurance, and paid holidays.
- Hybrid-friendly culture with flexible work options.
- Professional development reimbursement, WiFi reimbursement, and a health and wellness allowance.
Skills
Java, Spring Boot, SQL, Python, GCP, AWS, Spark, Apache Airflow, BigQuery, ClickHouse, Dataops, DevOps, Agile
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