Data / ML engineer Bucharest

Data / ML engineer
Bucureşti
Bucharest, Bucharest, Romania

Job Location: hybrid in Bucharest

Role description:

The key result area of this position is teams 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.

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
- 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
- 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

Bachelors 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 Skills Description:

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

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