Senior Engineer - Data Engineering

Key Responsibilities -------------------- * Contribute to the design and development of scalable data pipelines and a growing data lake * Build and extend data processing workflows using Python, Apache Spark, and Databricks * Define technical standards, best practices, and reusable frameworks for data engineering * Ensure data quality, reliability, performance, and maintainability across data solutions * Support data modeling, data integration, and transformation processes for analytics and reporting * Drive automation, monitoring, and CI/CD improvements to ensure operational excellence * Collaborate across teams, acting as a technical interface between the data platform and engineering, analytics, and business stakeholders. * Contribute to architecture decisions and long-term data platform strategy Your Profile ------------ * Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code * Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta  format) * Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture * Solid grasp of data lakehouse principles, data modeling, and data governance concepts * Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment * Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform * Experience with event-driven architectures or streaming platforms (e.g. Kafka) * Proven track record deploying, monitoring, and maintaining data pipelines and services in   production environments; experience with testing practices  * Able to work autonomously and take ownership of tasks end-to-end * Clear and concise communicator — comfortable working across engineering and data teams Education & experieance ----------------------- * Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field * 3 years of project/coding experience in a company * Cloud experience: * Databricks, AWS/Azure * Staging, testing, Git, pipelines * Distributed systems, data pipelines * Python experience: * Versioning, package management, requirements/environments * Change data capture * Data engineering experience: * SQL * Partitioning * Data structures (tables, relations) * Lakehouse