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- Aufgaben: Analyze and prepare data, model scalable ELT/ETL flows, and enrich data in a big data environment.
- Arbeitgeber: Join a modern company with flat hierarchies and interdisciplinary teams focused on state-of-the-art technologies.
- Mitarbeitervorteile: Enjoy flexible working hours, home office options, ergonomic workplaces, and top-notch hardware.
- Warum dieser Job: Work with cutting-edge tech and high-frequency data processing while enjoying a supportive and innovative culture.
- Gewünschte Qualifikationen: Technical education in Computer Science or Data Science; experience with SQL, Apache Hadoop, and programming languages.
- Andere Informationen: Salary starts at €60,000 annually, with potential for more based on your skills.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
Data Analyst bzw. Data Engineer with Apache Hadoop experience (all genders)
Responsibilities:
- Analyze and prepare data from the pre-systems.
- Model and map scalable ELT/ETL flows (batch and streaming).
- Interface between Data Analysts and Data Scientists.
- Enrich data and load into big data environment (Apache Hadoop on Cloudera).
Ihr Profil:
Qualifications:
- Technical education (Computer Science HTL, Computer Science Degree, Data Science etc.).
- 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.
- Showing interest in working with high-frequency data processing in near-realtime.
Benefits:
- State-of-the-Art Technologies: We understand the usage of state-of-the-art technologies as part of our mission.
- Modern Company: This means flat hierarchies, interdisciplinary teams, and wide-ranging opportunities for self-realisation.
- Attractive Working Environment: Life-phase oriented adaptation possibilities, home office, flexible working hours, individual & systematic training, ergonomic workplace, top hardware, and much more.
- Explicit Willingness to Overpay: You offer more than required? Perfect, we do too! Depending on your qualifications and experience, we agree on your real salary. The annual gross salary for this position is at least €60,000 (full-time).
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Standorte
Data Analyst bzw. Data Engineer with Apache Hadoop experience (all genders) Arbeitgeber: Job World KG
Kontaktperson:
Job World KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst bzw. Data Engineer with Apache Hadoop experience (all genders)
✨Tip Number 1
Make sure to highlight your experience with Apache Hadoop and related technologies like Kafka, NiFi, and Flink during the interview. Be prepared to discuss specific projects where you utilized these tools.
✨Tip Number 2
Familiarize yourself with the company's data processing needs and be ready to suggest how your skills in data modeling and ETL flows can enhance their operations. Showing initiative can set you apart.
✨Tip Number 3
Demonstrate your understanding of both batch and streaming data processing. Prepare examples of how you've worked with high-frequency data in near-realtime to showcase your relevant experience.
✨Tip Number 4
Engage with the team during the interview by asking insightful questions about their current projects and challenges. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst bzw. Data Engineer with Apache Hadoop experience (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and qualifications required for the Data Analyst/Data Engineer position. Tailor your application to highlight relevant experiences.
Highlight Technical Skills: Emphasize your technical education and experience with core technologies mentioned in the job description, such as SQL, Apache Hadoop, Scala, Java, Python, and Linux. Provide specific examples of how you've used these skills in past projects.
Showcase Relevant Experience: Detail your experience with data modeling, ELT/ETL processes, and working with high-frequency data processing. Use metrics and outcomes to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's mission and values. Express your enthusiasm for working with state-of-the-art technologies and your interest in contributing to their team.
Wie du dich auf ein Vorstellungsgespräch bei Job World KG vorbereitest
✨Showcase Your Technical Skills
Make sure to highlight your experience with Apache Hadoop and related technologies like SQL, Kafka, and Python. Be prepared to discuss specific projects where you utilized these skills, as this will demonstrate your hands-on experience.
✨Understand Data Modeling
Since data modeling is a key part of the role, be ready to explain your approach to designing scalable ELT/ETL flows. Discuss any relevant experiences you have with relational databases and how you've applied that knowledge in real-world scenarios.
✨Communicate Effectively
As the role involves interfacing between Data Analysts and Data Scientists, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as this will show your ability to bridge the gap between different teams.
✨Express Your Interest in High-Frequency Data Processing
Demonstrate your enthusiasm for working with high-frequency data processing in near-realtime. Share any relevant experiences or projects that showcase your interest and understanding of this area, as it aligns closely with the job requirements.
