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JUNIOR DATA ENGINEER Job Opening In Berlin – Now Hiring Machine Learning Reply


Job description

  • Als Data Engineer unterstützt du die erfolgreiche Implementierung von Kundenlösungen in den Bereichen Big Data, Data Engineering und Data Warehouses 
  • Du entwickelst und wartest skalierbare Datenplattformen und Datalakes in der Cloud (AWS, Azure) und berücksichtigst dabei DevOps-Paradigmen 
  • Auch die Entwicklung und Betreuung von datenintensiven Anwendungen mit Big-Data-Technologien wie Apache Spark, Hadoop und Datenbanken (SQL, NoSQL), unter Verwendung von Batch- oder Echtzeit-Datenintegration wie Kafka oder RabbitMQ, gehören zu deinen Aufgaben
  • Mit Technologien wie AirFlow oder Luigi entwickelst du Datenpipelines und Workflows
  • Regelmäßige und systematische (externe und interne) Weiterbildungsmöglichkeiten.

    Profitiere von unserem Team, Lernressourcen, Hackathons und mehr, um deine technische Entwicklung voranzutreiben und eine Präsenz in der Machine-Learning-Community zu haben (interdisziplinäres Arbeiten und Schulungen in den Bereichen Data Engineering, Cloud-Architektur und Data Science)
  • Zugang zu branchenübergreifenden Projekten (große und mittelständische Unternehmen aus den Bereichen Banken, Versicherungen, Automotive, Einzelhandel usw.)
  • Branchenführenden Kooperationen in den Bereichen Cloud, BI und AutoML
  • Arbeit in einer offenen, flachen Umgebung, innerhalb eines breiten Reply-Netzwerks zum Wissensaustausch
  • Preisgekrönte Büroräume in der Münchner Innenstadt mit Zugang zur Stammstrecke
  • Fahrkarte für öffentliche Verkehrsmittel mit Deutschlandticket
  • Zuschuss zu einer Fitnessstudio-Mitgliedschaft in einem Fitnessstudio der Wahl
  • Flexible Arbeitsumgebung zwischen Kunden, Reply-Büro und Remote-Arbeit
  • Wir freuen uns auf deinen Hochschulabschluss in Informatik, Wirtschaftsinformatik oder einem ähnlichen Studiengang
  • Du verfügst über erste Erfahrung in der Entwicklung, Wartung und Implementierung von datengesteuerten Produkten unter Verwendung von Kubernetes, Docker, Microservices oder Terraform
  • Mit Daten- und Cloud-Computing-Plattformen wie AWS, GCP, Azure sowie Databricks oder SnowFlake bist du vertraut
  • Du hast eine DevOps-Mentalität und wendest CI/CD (z.

    B.

    Gitlab CI, Jenkins), Integrationstests und Unit-Tests an
  • Außerdem hast du Erfahrung in der Software-Entwicklung und Clean Code in Python, Java, SQL oder Scala
  • Auf Deutsch und Englisch kommunizierst du gut und gerne
  • Machine Learning Reply bietet maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich an, die den gesamten Projektlebenszyklus abdecken – von der initialen Strategieberatung über die Datenarchitektur und Infrastrukturthemen bis hin zur Datenverarbeitung und Qualitätssicherung unter Verwendung von Machine-Learning-Algorithmen.

    Machine Learning Reply verfügt über umfassende Expertise im Bereich der Datenwissenschaft in allen Schlüsselindustrien der deutschen HDAX-Unternehmen.

    Machine Learning Reply befähigt seine Kunden, neue datenbasierte Geschäftsmodelle erfolgreich einzuführen sowie bereits bestehende Prozesse und Produkte zu optimieren – mit einem Schwerpunkt auf Open-Source- und Cloud-Technologien.

    Mit dem Machine Learning Incubator bietet das Unternehmen ein Programm zur Ausbildung der nächsten Generation von Entscheidungsträgern, Data Scientists und Entwicklern an.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your JUNIOR DATA Potential: Insight & Career Growth Guide


    Real-time JUNIOR DATA Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for JUNIOR DATA in Berlin, Germany, highlighting market share and opportunities for professionals in JUNIOR DATA roles.

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    Are You Looking for JUNIOR DATA ENGINEER Job?

    Great news! is currently hiring and seeking a JUNIOR DATA ENGINEER to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Machine Learning Reply adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Germany laws and regulations

    What Is the Average Salary Range for JUNIOR DATA ENGINEER Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for JUNIOR DATA ENGINEER?

    Key qualifications for JUNIOR DATA ENGINEER typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for JUNIOR DATA ENGINEER Job Success

    Machine Learning Reply interview tips for JUNIOR DATA ENGINEER

    Here are some tips to help you prepare for and ace your JUNIOR DATA ENGINEER job interview:

    Before the Interview:

    Research: Learn about the Machine Learning Reply's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

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    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your JUNIOR DATA ENGINEER interview at Machine Learning Reply, research the company, understand the job requirements, and practice common interview questions.

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    By following these tips, you can increase your chances of making a positive impression and landing the job!

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