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- Aufgaben: Design and maintain data pipelines for efficient data flow.
- Arbeitgeber: Join a dynamic team focused on data-driven decision-making.
- Mitarbeitervorteile: Collaborate with experts and enhance your skills in a supportive environment.
- Warum dieser Job: Make an impact by optimizing data processes and ensuring data quality.
- Gewünschte Qualifikationen: Bachelor's degree in IT or related field; experience as a Data Engineer required.
- Andere Informationen: Local applicants only; no visa sponsorship available.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Berlin, Germany, or ready to relocate to the employer’s location.
Job Summary: Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.
Key Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines.
- Integrate, clean, and organize raw data from various sources into structured formats.
- Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
- Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
- Optimize database performance and query execution.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Ensure data security and compliance with relevant data protection regulations.
- Monitor and troubleshoot data-related issues and provide timely resolutions.
- Document data engineering processes, architectures, and workflows.
Qualifications:
- Bachelors degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
- Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Preferred Skills:
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of data governance and data privacy regulations.
- Certification in data engineering or related fields.
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Data Engineer - Berlin Arbeitgeber: Yeah! Global
Kontaktperson:
Yeah! Global HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer - Berlin
✨Tip Number 1
Make sure to highlight your experience with SQL and relational databases in your conversations. Since these are crucial for the Data Engineer role, demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the specific big data technologies mentioned in the job description, like Hadoop and Spark. Being able to discuss how you've used these tools in past projects will show that you're ready to hit the ground running.
✨Tip Number 3
Network with current employees or alumni who work in similar roles. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss your experience with cloud-based solutions like AWS or Azure. Companies are increasingly moving to the cloud, and showcasing your knowledge in this area can give you a competitive edge.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer - Berlin
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and qualifications required, as this will help you tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data pipelines, ETL processes, and any big data technologies you've worked with. Use specific examples to demonstrate your skills in SQL, programming languages, and cloud-based solutions.
Showcase Collaboration Skills: Since the role involves working closely with data scientists and analysts, mention any past experiences where you collaborated with cross-functional teams. Highlight your communication skills and ability to understand data requirements from different stakeholders.
Tailor Your Application: Customize your CV and cover letter for this specific position. Use keywords from the job description to ensure your application stands out. Make it clear why you are a great fit for the Data Engineer role and how you can contribute to the company's success.
Wie du dich auf ein Vorstellungsgespräch bei Yeah! Global vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and relational databases in detail. Highlight specific projects where you designed and maintained data pipelines, and be ready to explain the technologies you used, such as Hadoop or Spark.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and how you approach troubleshooting data-related issues. Prepare examples of challenges you've faced in previous roles and how you resolved them.
✨Emphasize Collaboration
Since the role involves working closely with data scientists and analysts, be ready to discuss your teamwork experiences. Share examples of how you’ve collaborated on projects and how you ensured effective communication.
✨Understand Data Security and Compliance
Familiarize yourself with relevant data protection regulations and be prepared to discuss how you ensure data security in your engineering processes. This shows that you are not only technically proficient but also aware of the legal aspects of data handling.
