Data Engineering Co-Op

🔥 14 hours ago

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Logo of Motorola Solutions

Motorola Solutions

10,000+ employees

Founded 1928

🔐 Security

📡 Telecommunications

🏢 Enterprise

Security • Telecommunications • Enterprise

Motorola Solutions is a company that provides a comprehensive safety and security ecosystem, offering technology solutions to protect people, property, and places. The company specializes in critical communications, video security systems, command center solutions, and managed & support services. Their products include mission-critical P25 radios, professional DMR radios, broadband devices, and video security systems powered by AI analytics. Motorola Solutions serves various industries, including public safety, education, healthcare, law enforcement, and more, with a focus on enhancing operational efficiency and response in critical situations. They are committed to delivering solutions that help their customers stay connected, communicate clearly, and act with certainty in the harshest conditions.

📋 Description

• Assist in the development and maintenance of scalable data infrastructure, leveraging Python, SQL and cloud-based technologies for data manipulation, transformation and querying • Assist in integrating REST APIs for data ingestion and external system connectivity, with workflow orchestration tools like Apache Airflow • Learn and apply best practices in data engineering, including data governance, security, and performance optimization • Document workflows, architecture components, and technical decisions to support transparency and knowledge sharing • Identify and implement opportunities for data automation and process improvement • Monitor and troubleshoot data pipeline performance and failures using logging and observability tools

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related fields. • Proficient in Python, especially data manipulation (e.g. pandas, Json, requests) • Knowledge of APIs (REST, SOAP) and authentication (OAUTH2, KeyPair Authentication) • Experience with Snowflake including SQL, Snowpipe, and staging/loading data • Experience working with cloud platforms (AWS, Azure, or GCP) and integrating with external APIs • Experience with data warehouse solution, especially in Snowflake or BigQuery • Familiarity with data security, privacy standards, and handling sensitive data. • Strong problem solving skills, attention to details, and the ability to work independently. • Understanding of CI/CD pipelines for data engineering workflows. • Familiarity with Snowflake external function, UDFs, or integrating with external services.

🏖️ Benefits

• Remote Work • Full time

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