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- Aufgaben: Join us as a Databricks Developer and work on data engineering and ETL processes.
- Arbeitgeber: AMM Enterprise GmbH combines German tech expertise with Indian cost-effectiveness since 2015.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Warum dieser Job: Be part of a rapidly expanding company making an impact across various industries.
- Gewünschte Qualifikationen: Proven skills in Databricks, PySpark, SQL, and cloud platforms like AWS or Azure required.
- Andere Informationen: Experience in machine learning and CI/CD practices is a plus!
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Minimum Qualifications
- Proven expertise in Databricks platform, including PySpark and SQL.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Strong knowledge of data engineering , ETL processes , and data pipeline orchestration .
- Hands-on experience in data warehousing , data lakes , and data modeling .
- Proficiency in programming languages such as Python , Scala , or R .
- Experience with machine learning frameworks and tools.
- Familiarity with CI/CD pipelines and DevOps practices.
About Company
The foundation for AMM Enterprise GmbH, an ISO 9001:2015 was laid in the year 2015 by a group of senior and experienced professionals. This company was started with a vision of bringing the German technical edge and the Indian cost-effectiveness together on one pedestal. The company initially started with a primary focus on manufacturing engineering products for Aerospace and a Capital for automotive industry between India and Germany. An affirmative feedback from the market drove the Company to expand and diversify rapidly into other domains like: Supplier Management, Engineering Services, Management Consulting, IT & Software Services across industries.
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Databricks Developer Mannheim, Germany Arbeitgeber: Amm Group
Kontaktperson:
Amm Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Databricks Developer Mannheim, Germany
✨Tip Number 1
Make sure to showcase your hands-on experience with Databricks, PySpark, and SQL during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially get referrals.
✨Tip Number 2
Familiarize yourself with the specific cloud platforms mentioned in the job description, like AWS, Azure, or GCP. Consider working on personal projects that utilize these platforms to demonstrate your practical knowledge.
✨Tip Number 3
Join online communities or forums related to data engineering and Databricks. Engaging in discussions and sharing your expertise can help you build a network that may lead to job opportunities.
✨Tip Number 4
Stay updated on the latest trends and tools in data engineering and machine learning. This will not only enhance your skills but also show potential employers that you are proactive and passionate about your field.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Databricks Developer Mannheim, Germany
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your proven expertise in the Databricks platform, including your experience with PySpark and SQL. Tailor your CV to showcase specific projects or roles where you utilized these skills.
Showcase Cloud Platform Knowledge: Mention your experience with cloud platforms like AWS, Azure, or GCP. Provide examples of how you've implemented solutions on these platforms, particularly in relation to data engineering and ETL processes.
Detail Your Technical Skills: List your proficiency in programming languages such as Python, Scala, or R. Include any hands-on experience with machine learning frameworks and tools, as well as familiarity with CI/CD pipelines and DevOps practices.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background and skills to the job requirements. Explain why you're interested in working for AMM Enterprise GmbH and how you can contribute to their vision.
Wie du dich auf ein Vorstellungsgespräch bei Amm Group vorbereitest
✨Showcase Your Databricks Expertise
Make sure to highlight your proven expertise in the Databricks platform during the interview. Be prepared to discuss specific projects where you utilized PySpark and SQL, as well as any challenges you faced and how you overcame them.
✨Demonstrate Cloud Platform Experience
Since experience with cloud platforms like AWS, Azure, or GCP is crucial, come ready to share examples of how you've implemented solutions on these platforms. Discuss the benefits you observed and any best practices you followed.
✨Discuss Data Engineering Knowledge
Be ready to talk about your strong knowledge of data engineering, ETL processes, and data pipeline orchestration. Prepare to explain your approach to designing and optimizing data workflows, as well as any tools you prefer to use.
✨Familiarity with CI/CD and DevOps
Since familiarity with CI/CD pipelines and DevOps practices is important, be prepared to discuss your experience in this area. Share how you've integrated these practices into your workflow and the impact it had on project delivery.
