Data Engineer

4 weeks ago

India Luxoft Full time

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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