Data Engineer and Scientist

Koç University Information Technology department is seeking a skilled and motivated Data Engineer and Scientist. This role will play a pivotal role in designing, implementing, and maintaining our data infrastructure, as well as utilizing advanced analytics and machine learning techniques to extract actionable insights from our data.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines and ETL processes.
• Collaborate with cross-functional teams to gather and understand data requirements for various projects.
• Implement and maintain data storage solutions, ensuring data availability, integrity, and security.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and deploy machine learning models for predictive and prescriptive analytics.
• Optimize and fine-tune data pipelines for performance and cost efficiency.
• Stay up-to-date with emerging trends and technologies in data engineering and data science.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.
• 5+ years of experience in data engineering and data science roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data storage solutions (e.g., SQL databases, NoSQL databases, data lakes).
• Expertise in designing and implementing ETL processes and data pipelines.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with data warehousing and data modeling concepts.
• Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

• Master’s or PhD in a relevant field.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of containerization and orchestration platforms (e.g., Docker, Kubernetes).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Prior experience in an academic/research environment
• Excellent verbal, written, and interpersonal communication skills
• Flexibility in work schedule as needed
• No military obligation for male candidates