Data Engineer at Inetum

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Spark, Hadoop, Cloudera, CI/CD, Jira, ElasticSearch, HDFS, HBase, Control-M, Yarn, Kafka

Industry

IT Services and IT Consulting

Description

Company Description About Inetum Inetum is a European leader in digital services. Inetum’s team of 27,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.4 billion euros in 2024. For further information, please visit www.inetum.com Job Description Carry out Bigdata project developments to meet Efraude business needs and technical needs, perform end-to-end testing by defining test scenarios and documenting defects, carry out deployment in production Design, develop and maintain data pipelines for extracting, transforming and loading data from different sources Develop and maintain the data infrastructure (database, data warehouses, data lake) and data visualization tools Help anticipate and prevent production incidents on the fraud detection micro services hosted on the Big Data environment (investigations, follow-up, and communication with all the actors involved) Build a strategy to reduce technical debt, improve security, and ensure the decommissioning of unused resources Be accountable with the rest of the team on up-to-date documentation, compliant data governance and usage Qualifications Minimum 3 years of experience (development activities, PROD follow-up) Mandatory technical skills: Scala, Spark, Hadoop, Cloudera CI/CD, Jira, ElasticSearch Nice to have: HDFS, HBase, control-M, Yarn, Kafka English – Advanced, French - Intermediate Additional Information Benefits Full access to foreign language learning platform Personalized access to tech learning platforms Tailored workshops and trainings to sustain your growth Medical subscription Meal tickets Monthly budget to allocate on flexible benefit platform Access to 7 Card services Wellbeing activities and gatherings

Responsibilities

The Data Engineer will carry out Big Data project developments to meet business and technical needs, perform end-to-end testing, and manage production deployments. They will design, develop, and maintain data pipelines and infrastructure while ensuring compliance with data governance.