Job
Description
Department Overview The Cloud Platform Engineering team is responsible for the development and operations of critical cloud infrastructure, reliability, security and Business operational services, in support of Motorola Solutions public and hybrid cloud-based Software as a Service (SaaS) solutions for public safety customers. This team is part of Motorola Solutions Software Enterprise division, which offers secure, reliable and efficient team communications, workflow and operational intelligence solutions for mission critical public safety and enterprise markets throughout the world. Our services leverage Cloud Computing infrastructure on Azure, AWS and GCP to build at scale. Job Description Develop and maintain ETL pipelines using Python, NumPy, Pandas, PySpark, and Apache Airflow. Design and implement ETL solutions for reporting purposes Server-side development skills like multithreading, asynchronous IO, databases Knowledge of Azure DevOps and Github Work with large-scale data processing and transformation workflows. Optimize and enhance ETL performance and scalability. Collaborate with data engineers and business teams to ensure efficient data flow. Troubleshoot and debug ETL-related issues to ensure data integrity and reliability. As a software engineer on this team, you will be a key contributor to platform development activities. Our teams are developing services, tools, and processes to support other Motorola Solutions engineering teams as well as deliver solutions to our customers. You will be working on a high-velocity, results-oriented team that leverages cutting-edge technologies and techniques. The right individual will be motivated and will have a passion for automation, deployment processes and enabling innovation. Your efforts will help to shape the engineering culture and best practices across Motorola Solutions Software Enterprise organization. Basic Requirements 3+ years of Python experience, with 2+ years dedicated to Python ETL development. Proficiency in PySpark, Apache Airflow, NumPy, and Pandas. Experience in working with SQL and Bigquery Strong problem-solving skills and the ability to work independently. Experience in cloud-based ETL solutions (AWS, GCP, Azure). Knowledge of big data technologies like Hadoop, Spark, or Kafka.
