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Senior Python Developer

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Onsite

Senior Python Developer

NLB Services

Senior Python Developer

Skills

Google Cloud PlatformSQL QueriesData EngineeringFlaskPythonMicroservicesNumPypandasAWS LambdaJenkinsSwagger/OpenAPIData AnalysisAWSGitHubFastAPIPySparkAzure

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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