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- Aufgaben: Design and monitor data processing pipelines while collaborating with data scientists.
- Arbeitgeber: Join a dynamic team in Zurich, working remotely across Serbia, Portugal, Germany, and Switzerland.
- Mitarbeitervorteile: Enjoy fully remote work options and flexible hours.
- Warum dieser Job: Be part of innovative projects that shape data-driven decisions and enhance your tech skills.
- Gewünschte Qualifikationen: Experience in data engineering with proficiency in Python and SQL is essential.
- Andere Informationen: Knowledge of cloud environments like AWS or Azure is a plus.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
…………….
For our client in Zurich , we are looking for an experienced, motivated, and open-minded Data Engineer – Python & SQL . Fully remote within Serbia, Portugal, Germany and Switzerland possible.
Your Tasks:
- Help clients make their data business- or operations-ready
- Design, test, and monitor distributed data processing pipelines
- Work closely with data scientists in the creation of machine learning models
- Perform performance and cost estimations for various use cases
- Develop and create meaningful dashboards to visualize processed data
Your Profil:
- Several years of experience as a data engineer
- Proficiency in Python and SQL
- Hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes
- Knowledge in Java or .NET
- Good understanding of large public cloud environments such as AWS, MS Azure, or Google’s GCP
- Proficiency in English is mandatory, German language skills are a plus
Bachelor
- Proficiency in Python and SQL
- Hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes
- Knowledge in Java or .NET
- Good understanding of large public cloud environments such as AWS, MS Azure, or Google’s GCP
Data Engineer - Python & SQL Arbeitgeber: Coopers Group AG
Kontaktperson:
Coopers Group AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer - Python & SQL
✨Tip Number 1
Make sure to showcase your experience with Python and SQL in your conversations. Be ready to discuss specific projects where you've utilized these skills, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the technologies mentioned in the job description, like Hadoop and Apache Spark. If you have any personal projects or experiences with these tools, be prepared to share them during discussions.
✨Tip Number 3
Since the role involves working closely with data scientists, highlight any collaborative projects you've been part of. This will show that you're a team player and can effectively communicate with other technical roles.
✨Tip Number 4
Research the company and its clients to understand their data needs. Being knowledgeable about their business can help you tailor your conversation and demonstrate your genuine interest in the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer - Python & SQL
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience as a data engineer, particularly with Python and SQL. Include specific projects or tasks that showcase your skills in designing and monitoring data processing pipelines.
Showcase Technical Skills: List your hands-on experience or interest in technologies like Hadoop, Apache Spark, and cloud environments such as AWS or Azure. This will demonstrate your technical proficiency and alignment with the job requirements.
Tailor Your CV: Customize your CV to reflect the key responsibilities and qualifications mentioned in the job description. Use similar language to what is found in the listing to make it clear that you are a good fit for the role.
Craft a Strong Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your motivation for the role. Mention why you are interested in working with this client and how you can contribute to their data initiatives.
Wie du dich auf ein Vorstellungsgespräch bei Coopers Group AG vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've successfully implemented data processing pipelines or worked with technologies like Hadoop or Apache Spark.
✨Demonstrate Collaboration
Since the role involves working closely with data scientists, share experiences where you collaborated on machine learning models. Highlight how your contributions helped achieve project goals.
✨Understand Cloud Environments
Familiarize yourself with the cloud platforms mentioned in the job description, such as AWS, MS Azure, or GCP. Be ready to discuss how you've utilized these environments in past projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to estimate performance and costs for various use cases. Practice articulating your thought process and decision-making strategies in these scenarios.
