Data Engineer
Volt Lines, Turkey
Job Description
About Us
Volt Lines is a technology powered mobility platform aiming to solve urban mobility problems. We view empty seats in traffic as both the cause of the problem and its solution. There are more than 50,000 buses in Istanbul operating at 9% efficiency and we want to solve this problem. Making shuttle buses smarter, more efficient and dynamic, we create an alternative transportation network that can replace even car ownership. Companies and other institutions can benefit from the Volt Lines transportation network for the daily commute needs of their staff.
About the Role
We are looking for a Data Engineer who will be responsible for designing, developing, and maintaining our data architecture. You will collaborate with cross-functional teams to understand data requirements, implement robust data pipelines, and ensure data quality and integrity.
Responsibilities:
- Work with the data team on research and development of our TÜBITAK project Yapay Zeka ile Servis Agina Uyumlu Müsteri Önerme Sistemi
- Design, develop, and maintain scalable and efficient data pipelines for processing, transforming, and storing large volumes of data
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions
- Implement and maintain ETL processes to ensure the accuracy and reliability of our data
- Identify and resolve performance bottlenecks, data quality issues, and other challenges in the data infrastructure
- Stay up-to-date with emerging trends and technologies in data engineering and contribute to the continuous improvement of our data architecture
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer or similar role
- Strong proficiency in SQL and one or more programming languages (e.g., Python, Java, Scala)
- Experience with big data technologies such as Spark, Hadoop, or similar
- Solid understanding of data modeling, database design, and data warehousing concepts
- Experience with real-time data processing and streaming technologies
- Knowledge of data governance and security best practices
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Excellent problem-solving and communication skills
- Ability to work collaboratively in a team and independently when required