Motorola Solutions is hiring for the role of Data Enginner!

Responsibilities of the Candidate:

• 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.

Requirements:

• 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