Qualifications / คุณสมบัติ

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.

• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.

• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.

• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.

• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.

• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.

• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.

• You are curious, resilient, and thoughtful—comfortable learning new technologies, embracing feedback, and improving how things are done.