Senior Engineer (Data Engineer- Databricks)

Actively participate in coding, debugging, and troubleshooting to contribute to the development effort while maintaining a focus on architectural excellence Identify and address performance bottlenecks and scalability issues in the product Leverage your knowledge of AWS services to design and implement cloud-based solutions that meet business requirements Create and maintain comprehensive technical documentation for architectural designs, coding guidelines, and best practices Work closely within a cross-functional team and peer teams and product management to ensure the successful integration of various components and technologies Qualifications 4+ years of hands-on experience in software development, with 2+ years on data engineering practices and tooling Recent professional experience in AWS managed services and cloud-native development,Spark, python, SQL using technologies in modern data management and orchestration tooling (e.g., AirFlow, DataBricks, DBT),data structures, relational databases, non-relational/no-SQL databases, ETL processes, and complex relational queries,SaaS (Software as a Service) / product development,containerization and orchestration technologies (e.g., Docker, Kubernetes) Exposure to API development and productization / data delivery at scale through APIs. Exceptional problem-solving and analytical skills. Excellent communication and teamwork abilities. Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Our Culture : We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly Flat hierarchy with fast decision making and a startup-oriented get things done culture A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment