Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. 5 years of hands-on experience in Data Engineering, with at least 2 years in a team lead or technical leadership role. Proven ability to lead and develop technical teams in a fast-paced environment. Deep expertise in SQL and advanced analytics. Strong understanding of data and schema standards, data modeling, and governance concepts. Deep familiarity with Databricks. Hands-on familiarity with the Azure cloud platform and cloud-native development practices. Demonstrated experience designing and delivering robust ETL pipelines and data integration frameworks. Excellent analytical thinking combined with the ability to communicate complex ideas clearly to technical and non-technical stakeholders. Strong system-level problem-solving skills with the ability to make architectural trade-offs. Experience with modern analytics tools and platforms such as Spark, data lakes, and similar. Hands-on experience with LLMs, AI prompt design, and building production-grade AI applications.
