Cloud-Based Data Engineer for Investment Banking

2 days ago


India Luxoft Full time
Job Description:

We are seeking an experienced Data Engineer to join our team at Luxoft. In this role, you will play a crucial part in designing and developing scalable data pipelines using Python.

About the Role:

  • You will be responsible for migrating legacy shell scripts to Python, improving performance and error handling.
  • Collaborate with internal teams to understand user requirements and provide technical solutions.
  • Develop and maintain efficient data processing workflows using Python code.

Key Responsibilities:

  1. Create effective, scalable code using Python to meet the demands of large-scale investment banking projects.
  2. Work closely with cross-functional teams to ensure seamless integration of data solutions.
  3. Migrate legacy scripts to Python, optimizing code standards for improved performance.
  4. Test and debug programs to ensure high-quality data outputs.
  5. Manage data pipelines in AWS/GCP using Python code.

Skill Requirements:

  • 4-6 years of experience working on Python development projects.
  • Deep understanding of Python's language, ecosystem, features, and experience in designing and developing data pipelines.
  • The ability to program SQL databases with Python.
  • Experience in interfacing with Resilient Distributed Datasets (RDDs) in Python.
  • Solid experience in building queries in various SQL/NoSQL databases (Postgres/Cassandra/Elastic Search/MangoDB).
  • Experience in building a Data Quality Framework on various types of datasets.
  • Experience in deploying MicroServices in Docker/Kubernetes/OpenShift.
  • Understanding of CI/CD Pipelines through Jenkins/Git/Github/Github Actions.

Preferred Qualifications:

  • Certification in Data Engineering or ML is an added advantage.
  • Knowledge or working experience in building AI or ML pipeline.
  • Experience in investment banking-related projects.

What We Offer:

  • An estimated salary range of $120,000 - $180,000 per year.
  • A dynamic work environment that encourages innovation and growth.
  • The opportunity to work on challenging projects with a talented team.


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