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Staff Application Engineer - Python

Staff Application Engineer - Python

DashhireMumbai
30+ days ago
Job description

About the Role :

We are looking for a highly skilled and experienced Staff Engineer Application to lead the design, development, and optimization of backend services and data engineering pipelines.

As a key technical leader, you will be responsible for driving architectural decisions, ensuring high performance and scalability of distributed systems, and collaborating closely with cross-functional teams to deliver robust enterprise Responsibilities :

  • Lead the design and architecture of complex backend systems and scalable data pipelines.
  • Define best practices for system design, including microservices architecture, service orchestration, and data modeling.
  • Implement solutions for caching, rate-limiting, circuit breaking, and queuing.
  • Develop high-performance, secure, and scalable backend services using Python and frameworks such as Flask, FastAPI, or Django.
  • Build and maintain RESTful and GraphQL APIs, ensuring robust integration with frontend and external systems.
  • Design and deploy applications on cloud platforms such as AWS, Azure, or GCP, with hands-on use of services like :

1. AWS : Lambda, EC2, S3, RDS, Glue

2. Azure : Functions, Blob Storage, Virtual Machines

3. GCP : Cloud Functions, Compute Engine, Dataflow

  • Design and maintain scalable ETL / ELT pipelines using tools such as Apache Spark, Apache Airflow, AWS Glue, or Google Dataflow.
  • Integrate and optimize data warehouses and analytics platforms (e., Amazon Redshift, Google BigQuery, Snowflake).
  • Manage batch and real-time data processing using Kafka, Hadoop, or similar big data technologies.
  • Implement asynchronous and synchronous integration patterns using technologies such as WebSockets, REST APIs, and GraphQL.
  • Lead API versioning, security (OAuth2, JWT), and documentation initiatives.
  • Mentor junior and mid-level engineers, perform code reviews, and ensure adherence to engineering best practices.
  • Collaborate with product managers, data scientists, and DevOps teams to deliver end-to-end solutions.
  • Drive technical initiatives, proof-of-concepts, and technology evaluations to improve team Qualifications :
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8 to 10 years of professional experience in backend and data engineering roles.
  • Strong programming skills in Python, with familiarity in libraries / frameworks like NumPy, Pandas, Pydantic.
  • Solid experience with cloud-native services and deployment practices.
  • Deep understanding of distributed systems, asynchronous processing, and system resiliency patterns.
  • Experience working in Agile / Scrum teams and DevOps environments
  • (ref : hirist.tech)

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