NLB Services
Senior Python Developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹800,000 – ₹1,200,000 / year
Location:
Delhi, India
Work mode:
Onsite
Published on:
18 September 2026
What they need
Design and optimize high-throughput Python ETL/ELT pipelines for large enterprise datasets.
- Implement memory-efficient processing using generators, streaming, chunk-based processing, multiprocessing, threading, and parallel processing.
- Develop production-grade REST APIs and microservices using FastAPI / Flask.
- Automate analytical workflows, report generation, data reconciliation, and scheduled processes.
- Develop comprehensive unit and integration tests using pytest/unittest.
- Build and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
- Develop cloud-native data solutions using AWS, Azure, or GCP.
- Participate in architecture discussions, code reviews, and technical mentoring.
- Maintain OpenAPI/Swagger documentation, technical documentation, and operational runbooks.
- Identify and resolve Python performance bottlenecks using cProfile, memory_profiler, asyncio, multiprocessing, and other optimization techniques.
MUST-HAVE SKILLS
Python 7+ Years
Data Engineering / Analytics Engineering 3+ Years
pandas | NumPy | SQLAlchemy | requests
PySpark / Dask
FastAPI / Flask
REST API / Microservices
SQL & Data Processing
pytest / unittest / tox
CI/CD – GitHub Actions / Azure DevOps / Jenkins
Cloud Data Services
CLOUD EXPERIENCE
Experience with one or more:
AWS: Lambda, Glue
Azure: Functions, Data Factory (ADF)
GCP: Cloud Functions, Dataflow
PERFORMANCE & SCALABILITY
Strong experience in:
- Large-scale data processing
- Memory optimization
- Streaming/chunk-based processing
- Async programming using asyncio
- Multiprocessing / multithreading
- Profiling using cProfile / memory_profiler
- API response optimization
- Distributed processing using PySpark / Dask
DOMAIN EXPERIENCE
Banking / Financial Services / FinTech / Regulatory Data Engineering experience is strongly preferred.
Candidates should have experience working with large-scale enterprise or financial datasets and building reliable, production-grade data pipelines.
IDEAL PROFILE
We are looking for a hands-on Senior Python/Data Engineer who combines strong software engineering fundamentals with practical data pipeline, API, cloud, testing, and performance optimization experience.
Interested candidates can share their updated CV at:
[email protected]
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