Data Engineer

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of professional experience as a Data Engineer in a Big Data environment.
• Proven hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, YARN).
• Expert-level proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python, specifically with the PySpark library and Versioning control systems (git).
• Extensive experience of workflow management tools, particularly Apache Airflow.
• Basic knowledge of messaging and streaming platforms, especially Apache Kafka.
• Hands-on experience with ticket systems (JIRA, Azure Devops).
• Experience with cloud platforms, preferably Microsoft Azure.
• Basic skills with business intelligence tools (PowerBI, Tableau).
• Strong problem-solving skills and the ability to work independently as well as in an intercultural, agile team.
• Excellent communication skills in English, German skills are a plus.

Additional Information

• Benefits: Company Insurances, Transport Allowance, Flexi Work hours, Car Loan Subsidy, Meal Subsidy, high EPF, etc.

• Leave Entitlement e.g. Annual Leave, Medical Leave, etc.

• Work in a fast-growing semiconductor environment

• Take ownership of impactful task and profit from Career development opportunities

• Collaborate with global experts across the International Production Network (IPN)

• Be part of a strong, intercultural team with high team spirit

What We Offer:

• A challenging and rewarding role in a leading global technology company.
• Opportunities for professional growth and development.
• A collaborative, innovative, international and intercultural work environment.
• Competitive salary and benefits package.

If you are a passionate Data Engineer looking to make an impact in a fast-paced, data-driven environment, we would love to hear from you. Apply now to join our team!