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The Technical Lead Data Engineer role at Inetum involves designing and maintaining scalable ETL pipelines, developing automation scripts in Python, managing CI/CD tools, mentoring junior developers, and contributing to analytical use cases. The position is located in Bucharest, Romania. Candidates should have 5+ years of experience in data engineering, expertise in PySpark, Python, Unix scripting, and strong communication skills. Benefits include medical subscription, meal tickets, access to learning platforms, and wellbeing activities.
Job Responsibility:
Design, build, and optimize scalable ETL pipelines using PySpark within the Hadoop ecosystem (Cloudera)
Perform data modeling to support efficient data processing and analytics
Develop and maintain Python scripts and Unix shell scripts for automation and data manipulation
Integrate and manage data flows using Kafka for real-time data streaming (produce and consume via topics)
Ensure the smooth operation of the CI/CD DevOps chain, including Jenkins, JFrog, and Ansible
Monitor and troubleshoot data workflows and deployments to maintain high availability and performance
Supervise and mentor junior developers, providing technical guidance and support
Participate in workshops and cross-functional meetings to define and implement new data use cases
Contribute to the definition of new analytical use cases, identifying relevant data and transforming it for reporting
Lead and participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)
Conduct training sessions and ensure knowledge sharing across the team
Requirements:
5+ years of experience in data engineering or related field
Strong proficiency in PySpark, Python, and Unix scripting
Experience with Kafka, CI/CD tools (Jenkins, JFrog, Ansible), and data modeling
Excellent problem-solving skills and the ability to make technical proposals
Strong communication and leadership skills with a passion for mentoring and training
Strong analytical and problem-solving abilities
Excellent communication skills to collaborate with technical and non-technical stakeholders
Ability to manage multiple tasks and prioritize effectively
Detail-oriented with a focus on data accuracy and usability
Bachelor’s or master’s degree in computer science, Data Science, or related field
Fluent English is a must
French will be a plus, but not mandatory
Knowledge of business intelligence and data storytelling principles
Nice to have:
French will be a plus
Knowledge of business intelligence and data storytelling principles
What we offer:
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
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