Qualifications
RequirementsMandatory Technical SkillsOver 10 years of experience in Data Engineering or related fields. In-depth, practical experience with Databricks in a production setting. Expertise in PySpark. Advanced SQL skills (including query optimization, complex joins, CTEs, and window functions). Familiarity with any major cloud platform (AWS, Azure, or GCP). Strong grasp of data modeling, data warehousing, and analytics frameworks. Experience in leading the development of production-grade data pipelines. Leadership & Work Style RequirementsDemonstrated experience as a Lead Data Engineer or Technical Lead. Ability to effectively balance team leadership and individual contributions. A solid ownership mindset with excellent problem-solving capabilities. Experience collaborating with global teams across multiple time zones. Must be available for meetings and calls during US Pacific Time (PT). Desirable SkillsExperience with Delta Lake and Lakehouse architecture. Knowledge of streaming technologies (Kafka, Spark Structured Streaming). Familiarity with CI/CD pipelines for data platforms. Understanding of data governance, lineage, and security best practices. Experience in Agile/Scrum teams.
About the job
Join our innovative team at Mindera as a Lead Data Engineer. We are on the lookout for an experienced professional with exceptional technical skills and leadership qualities to architect, develop, and enhance cutting-edge data platforms. This dynamic role involves not only hands-on coding but also mentoring team members and collaborating with stakeholders across the United States (Pacific Time) and the United Kingdom.
The ideal candidate thrives during US Pacific Time working hours, possesses the ability to make independent technical decisions, and has a strong technical background in Databricks, PySpark, and SQL within cloud environments.
About Mindera
At Mindera, we pride ourselves on creating robust software solutions that empower businesses across the globe. Our culture is collaborative and engineering-driven, and we work on challenging, high-impact data projects that push the boundaries of technology.
