Cloud-Based Data Engineer for Investment Banking
2 days ago
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:
- Create effective, scalable code using Python to meet the demands of large-scale investment banking projects.
- Work closely with cross-functional teams to ensure seamless integration of data solutions.
- Migrate legacy scripts to Python, optimizing code standards for improved performance.
- Test and debug programs to ensure high-quality data outputs.
- 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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