Remote (India) · Senior · Remote
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4–6 years of experience in backend engineering or data engineering, preferably in a scalable B2B SaaS product environment.
Strong programming skills in Python, with experience building scalable backend applications.
Hands-on experience building distributed data processing pipelines using PySpark.
Strong SQL skills, including complex query development, query optimization, and relational database design.
Strong experience developing REST APIs and Python web services using FastAPI, Flask, or Quart.
Experience building scalable ETL/ELT pipelines and enterprise data ingestion frameworks.
Experience working with cloud platforms such as Microsoft Azure (preferred) or AWS.
Hands-on experience with Git, CI/CD, and modern software engineering practices.
Strong debugging, performance tuning, and problem-solving skills.
Proven experience independently delivering features, modules, or projects from requirements through production.
Ability to estimate work, identify technical risks, and drive timely delivery.
Strong ownership mindset with excellent collaboration and communication skills.
Comfortable leveraging AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude to improve engineering productivity, code quality, debugging, and problem-solving.
Experience working in a B2B SaaS, supply chain, compliance, or other data-intensive product company, preferably in a high-growth environment.
Exposure to supply chain operations, compliance, or risk management domains.
Experience working with modern cloud data platforms such as Databricks (preferred), Snowflake, and Lakehouse technologies, including Delta Lake.
Experience designing scalable backend architectures and distributed systems.
Exposure to one or more of the following technologies: Java, Kafka, Redis, Apache Airflow, or Kubernetes.
Experience mentoring engineers and contributing to technical design discussions.
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