About the role

Data Engineer Co-Op at Motorola Solutions working on designing scalable data pipelines and maintaining cloud architecture. Collaborating with analytics team to optimize data processes.

Responsibilities

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

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.