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Data Engineer

Global technology company providing critical communications, video security and command center technologies for public safety and enterprise solutions.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
Enterprise SaaS

Description For Data Engineer

Motorola Solutions is seeking a Data Engineer to join their Cloud Platform Engineering team. This role is crucial in developing and maintaining data pipelines for their SaaS solutions supporting public safety customers. The position involves working with cutting-edge technologies across multiple cloud platforms (Azure, AWS, GCP) to build scalable solutions. As a key contributor to platform development, you'll be responsible for ETL pipeline development, data processing, and collaboration with cross-functional teams. The role offers an opportunity to work with modern data technologies and shape engineering practices across the organization. The ideal candidate should have entry-level experience with Python and data engineering tools, along with a strong foundation in cloud technologies and big data processing. This position is perfect for someone passionate about using data engineering to contribute to public safety and enterprise solutions.

Last updated 2 days ago

Responsibilities For Data Engineer

  • Develop and maintain ETL pipelines using Python, NumPy, Pandas, PySpark, and Apache Airflow
  • Design and implement ETL solutions for reporting purposes
  • 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

Requirements For Data Engineer

Python
Kubernetes
  • 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

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