Software Engineer, Data Platform

Who we are At Boosted, we move fast and build smart. Our team of founders and senior leaders has a proven track record of solving complex challenges, delivering innovative product and data solutions, and driving billions in revenue across highly regulated industries. From new product development and seamless service integration to cloud modernization, data platforms, business intelligence, and machine learning deployment. We empower businesses to innovate, scale, and stay ahead of the curve. For more information, you can visit our website at getboosted.io. What we're looking for We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The successful candidate will work on a variety of projects across different domains, utilizing the latest technologies and methodologies to design, build, and maintain robust data systems. This role requires a deep understanding of data engineering principles and a passion for solving complex data challenges. Responsibilities Design, develop, and maintain scalable data pipelines (both batch and streaming) to support diverse data needs. Architect and implement cloud data infrastructure solutions, ensuring high availability, performance, and security. Develop and optimize semantic layers and data models to facilitate efficient data querying and reporting. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions. Implement and manage ETL processes to ensure data quality and integrity across various data sources. Build and maintain data visualization tools and dashboards to enable data-driven decision-making. Mentor junior data engineers and provide technical guidance to the team. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain cutting-edge. Qualifications Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. 5 years of experience in data engineering or a related role. Proficiency in programming languages such as Python, Java, or Scala. Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud. Strong knowledge of SQL and NoSQL databases. Experience with big data technologies such as Hadoop, Spark, Kafka, etc. Proven experience in building and maintaining data pipelines and ETL processes. Familiarity with data modelling tools and techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications Experience with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data governance and security best practices. Experience with machine learning pipelines and frameworks. Benefits Competitive salary and performance-based bonuses. Flexible working hours and remote work options. Comprehensive health, dental, and vision insurance. Access to ongoing training and certification programs in GCP and other cloud technologies. Professional development opportunities and continuous learning. Remote work arrangements. Collaborative and inclusive work environment.