Data Engineer

Description: 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.
Job skills required: Microsoft Azure, Apache, Python, SQL, Kafka
Job skills preferred: Amazon AWS, Cloud Computing