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About Company :
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.
Job Summary
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.
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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.
Responsibilities
- 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.
Qualifications
- 0-2 years of Python experience, with good understanding of Python ETL development.
- Proficiency in PySpark, Apache Airflow, NumPy, and Pandas.
- Proficiency in working with SQL and Bigquery
- Strong problem-solving skills and the ability to work independently.
- Proficiency in cloud-based ETL solutions (AWS, GCP, Azure).
- Knowledge of big data technologies like Hadoop, Spark, or Kafka.
