Senior Software Engineer DFI II
New
R
ResilincSupply chain risk management
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–6 years of experience in backend engineering or data engineering
- Required Skills
- PythonSQLFlaskMicrosoft AzureFastAPICI/CDRESTful APIsPySpark
Requirements
- Have 4–6 years of experience in backend engineering or data engineering.
- Bring strong Python programming skills and experience building scalable backend applications.
- Have hands-on experience building distributed data processing pipelines with PySpark.
- Have strong SQL skills, including complex queries, query optimization, and relational database design.
- Have experience developing REST APIs and Python web services using FastAPI, Flask, or Quart.
- Have experience building scalable ETL/ELT pipelines and enterprise data ingestion frameworks.
- Have experience with cloud platforms such as Microsoft Azure or AWS; Azure is preferred.
- Have hands-on experience with Git, CI/CD, and modern software engineering practices.
- Demonstrate independent delivery of features, modules, or projects from requirements through production.
- Be able to estimate work, identify technical risks, and drive timely delivery.
- Be comfortable using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude.
- Experience with Databricks, Snowflake, Lakehouse technologies, or Delta Lake is a plus.
- Exposure to Java, Kafka, Redis, Apache Airflow, or Kubernetes is a plus.
Responsibilities
- Own backend feature, platform module, and engineering initiative delivery from design through production.
- Design and maintain scalable backend services, distributed data pipelines, and ingestion frameworks.
- Build production-grade Python web services and REST APIs using FastAPI, Flask, or Quart.
- Design and optimize distributed data processing pipelines using PySpark and SQL.
- Process structured and semi-structured data from enterprise APIs, databases, cloud storage, and file formats.
- Improve platform scalability, reliability, observability, performance, and maintainability.
- Translate business requirements into technical solutions with Product Managers and Architects.
- Break down engineering initiatives, estimate work, identify technical risks, and drive execution.
- Review code, mentor junior engineers, and promote engineering best practices.
- Troubleshoot production issues and lead root cause analysis.
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