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- Aufgaben: Analyze and prepare data, model scalable ELT/ETL flows, and interface with Data Analysts and Scientists.
- Arbeitgeber: Join JOB WORLD GmbH, a partner of top IT companies in Austria, offering exciting career opportunities.
- Mitarbeitervorteile: Enjoy remote work options, extra day off on your birthday, relocation support, and meal allowances.
- Warum dieser Job: Work with cutting-edge technology in a dynamic environment while earning a competitive salary.
- Gewünschte Qualifikationen: Experience in data modeling, SQL, Apache Hadoop, and interest in high-frequency data processing required.
- Andere Informationen: Permanent employment with a renowned IT company in Vienna and Upper Austria.
Das voraussichtliche Gehalt liegt zwischen 4500 - 6300 € pro Monat.
Have you always wanted to work as a data engineer? Then take advantage of your chance:
JOB WORLD GmbH is a partner of the leading IT companies in Austria. We offer committed DATA ENGINEERS top access to interesting jobs.
We are looking for a PERMANENT EMPLOYMENT for a renowned IT company.
Responsibilities:
- Analyze and prepare data from the pre-systems.
- Model and map scalable ELT/ETL flows (batch and streaming).
- Act as an interface between Data Analysts and Data Scientists.
- Enrich data and load into a big data environment (Apache Hadoop on Cloudera).
Your Profile:
- Experience in data modeling (relational databases and Apache Hadoop).
- Know-how of core technologies such as SQL (MS SQL Server), Apache Hadoop (Kafka, NiFi, Flink , Scala and/or Java, Python) and Linux.
- Interest in working with high-frequency data processing in a near-realtime environment.
- Permanent employment in a renowned IT company in Vienna and Upper Austria.
- Very good pay from €4,500 gross per month (higher pay possible if you are suitable and experienced).
- Many other benefits are waiting for you, such as an additional day off on your birthday, the possibility of working from home on a daily basis after starting school and by arrangement, relocation support, meal allowance, state of the art technology, etc.
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Standorte
Data Engineer / Data Science (Apache Flink) m/w/d (HOME-OFFICE-MGLICHKEIT) Arbeitgeber: Job World KG
Kontaktperson:
Job World KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer / Data Science (Apache Flink) m/w/d (HOME-OFFICE-MGLICHKEIT)
✨Tip Number 1
Make sure to showcase your experience with Apache Flink and other core technologies like SQL and Hadoop during the interview. Be prepared to discuss specific projects where you've utilized these skills.
✨Tip Number 2
Highlight your ability to work with high-frequency data processing. Share examples of how you've handled near-realtime data in previous roles, as this is a key aspect of the job.
✨Tip Number 3
Demonstrate your understanding of the role of a data engineer as an interface between data analysts and data scientists. Prepare to explain how you can facilitate communication and collaboration between these teams.
✨Tip Number 4
Research the company culture and values of the renowned IT company you're applying to. Being able to align your personal values with theirs can make a strong impression during the interview.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer / Data Science (Apache Flink) m/w/d (HOME-OFFICE-MGLICHKEIT)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarize yourself with technologies like Apache Flink, SQL, and Hadoop, as well as the specific tasks mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data modeling, ELT/ETL processes, and any specific technologies mentioned. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your interest in the company. Mention specific projects or experiences that align with the job requirements, particularly your experience with high-frequency data processing.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
Wie du dich auf ein Vorstellungsgespräch bei Job World KG vorbereitest
✨Understand the Technologies
Make sure you have a solid understanding of the core technologies mentioned in the job description, such as SQL, Apache Hadoop, and Apache Flink. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Data Modeling Skills
Be ready to explain your approach to data modeling, especially with relational databases and big data environments. Prepare examples of how you've successfully modeled and mapped ELT/ETL flows in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to data processing and analysis. Brush up on your knowledge of batch and streaming data flows, and be prepared to solve problems or answer scenario-based questions during the interview.
✨Highlight Your Communication Skills
Since the role involves acting as an interface between Data Analysts and Data Scientists, emphasize your ability to communicate complex technical concepts clearly. Share examples of how you've facilitated collaboration between different teams in your previous work.
