Luxoft | Data Engineer
3 weeks ago
Project description
Provide End to End Development solution to one of the largest investment banking products by scaling up the latest technology stack by adopting the cloud-based services under Payment Settlement stream.
Responsibilities
- Write effective, scalable code using Python.
- In-depth working knowledge of data management activities like data extraction, data mining, data analysis, data validation, and data storage.
- Migrate legacy shell scripts to Python using optimized code standards to improve performance and error handling.
- Test and debug the programs.
- Managing the pipelines in AWS/GCP using Python code.
- Coordinate with internal teams to understand user requirements and provide technical solutions.
- Understand the current logic of the scripts and migrate it to Python.
Skills
Must have
- 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 the MicroService in Docker/Kubernetes/OpenShift
- Understanding of CI/CD Pipelines through Jenkins/Git/Github/Github Actions
Nice to have
- 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
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