Regular Data/ML Engineer (with Python)

Romania Job Openings

Luxoft

Bucharest

October 15, 2024

Bucharest, Romania

Python

BCM Industry

15/10/2024

Req. VR-108849

Project description

Our AFCC team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling, and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations.

Responsibilities

You must have proven experience developing with the tools stack described below.

The key result area of this position is team's ability to deliver high quality code, which is testable, maintainable and meets all the business requirements.

Preferable experience with Hadoop ecosystem, performance optimization, development, deployment and maintaining code in production.

This job is well-suited to people who have problem-solving skills, work well as part of a team, and can manage their time effectively to meet deadlines and keep to projected schedules.

Skills

Must have

We`ll trust you to:

As part of a development team, collaborate with other team members to understand requirements, analyze, and refine user stories, design solutions, implement them, test them, and support them in production

Develop and deploy, within a team, big data anti-fraud detection solutions and models using Python and Py Spark; ability/willingness to learn how to improve them with machine learning algorithms and models

Write code and write it well. Use test driven development, write clean code, and refactor constantly

Develop or being willing to learn big data machine learning solutions

Collaborate closely with product owners, analysts, developers, and testers. Make sure we are building the right thing

Ensure that the software you build is reliable and easy to maintain in production

Help your team build, test and release software with short lead times and a minimum of waste.

Work to develop and maintain a highly automated Continuous Delivery pipeline

Help create a culture of learning and continuous improvement within your team and beyond

Actively support the business strategy, plan, and value, contributing to the achievement of a high-performance culture

Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution.

We`d love you to bring:

Good developer skills utilizing Python and Py Spark for processing large data volumes

Relevant experience with Pandas, Num Py, Scikit-learn, Tensor Flow and other relevant Python and ML libraries

Good knowledge of working with Databases (e.g. SQL, Oracle, Hive, Impala)

Understanding of distributed computing principles and working with different data file types

Good knowledge of Unix/Linux environments

Familiarity with Big Data and Hadoop Ecosystem: Spark (Spark SQL, Dataframes, Py Spark), HDFS, Hive, YARN, Kerberos

Awareness about Dev Ops practices like CI/CD

Experience using version control systems such as Git

Hands on knowledge of Shell Scripting

Bachelor's degree from an accredited college or university with a concentration in Computer Science or IT-related discipline (or equivalent work experience/diploma/certification)

Nice to have

Experience working in an Agile setup, practicing Scrum or Kanban

Familiarity with Atlassian stack: Jira, Confluence, Bitbucket

Experience using Control-M Workload Automation tool

Have an aptitude for data mining, analytical in the approach to tasks and have a business focus

Understand statistical modelling and can apply modelling techniques to analyze data

Experience with Google Cloud Platform

Other

Languages
English: B2 Upper Intermediate

Seniority
Regular

We regret to inform you that this job opportunity is no longer available as it has expired

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