TECH LEAD - Data Engineer
Job Title: Tech Lead Data Engineer Working method: Hybrid Mission:
- Design, develop, and optimize scalable ETL pipelines using Py
Spark within the Hadoop (Cloudera) ecosystem. -
Perform data modeling to enable efficient processing and analytics.
- Build and maintain Python and Unix shell scripts for automation and data handling.
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Manage real-time data streaming with Kafka (produce/consume via topics).
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Oversee the CI/CD pipeline (Jenkins, JFrog, Ansible) to ensure smooth operations.
- Monitor, troubleshoot, and optimize data workflows and deployments for high performance and availability.
-
Lead and mentor junior developers, providing guidance and support.
- Contribute to workshops and
- functional meetings to define and implement new data use cases. - Define new analytical use cases, identifying and transforming relevant data for reporting.
- Take an active role in Agile ceremonies (daily
- ups, sprint planning, retrospectives). - Conduct training sessions and ensure effective knowledge sharing within the team.
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5+ years of experience in data engineering or a related field.
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Strong expertise in Py
Spark, Python, and Unix scripting. - Hands-on experience with Kafka, CI/CD tools (Jenkins, JFrog, Ansible), and data modeling.
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Excellent problem-solving skills and ability to propose technical solutions.
- Strong leadership and communication skills, with a passion for mentoring and training.
- Analytical mindset and attention to detail, with a focus on data accuracy and usability.
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Ability to manage multiple priorities effectively.
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Bachelors or Masters degree in Computer Science, Data Science, or a related field.
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Fluent in English (French is a plus, not mandatory).
- Familiarity with business intelligence concepts and data storytelling best practices.
If you are a good match, do not hesitate to apply!
- Informații detaliate despre oferta de muncă
Firma: Shape Your Future with Us Localiția: Bucureşti
Bucharest, Bucharest, RomaniaAdăugat: 18. 9. 2025
Postul de muncă activ
Fii primul, care se va înregistra la oferta de muncă respectivă!