Data Engineer
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Job Description
Data Engineer supporting cloud operations with ETL pipelines and BI reports. Collaborating with a team on AI agents and data visualization for cloud performance metrics.
Responsibilities:
- Data Pipeline Support: Assist in building and maintaining scalable ETL/ELT pipelines using AWS Glue, PySpark, and cloud-native services.
- BI Reporting & Visualization: Develop and maintain interactive dashboards and reports using Power BI to visualize cloud cost, performance, and operational metrics for stakeholders.
- AI/ML Assistance: Support the development and testing of AI agents and machine learning models designed to monitor cloud resource health.
- Data Management: Help manage data storage, processing, and query performance using the Snowflake cloud data platform and AWS Athena.
- Workflow Orchestration: Learn to orchestrate and monitor data workflows using Apache Airflow DAGs.
- Automation: Assist in automating operational workflows using Python and intelligent scripting.
- Collaboration: Participate in code reviews, team design sessions, and Agile ceremonies to learn best practices and contribute to team goals.
- Documentation: Maintain clear documentation for data processes and assist in tracking project progress via tools like Jira.
Requirements:
- Education: Bachelor’s degree with 5+ years of professional experience in data engineering, software development, or a related field.
- Technical Foundation: Proficiency in Python and foundational knowledge of SQL.
- BI Skills: Experience building data visualizations and reports using Power BI.
- Interest in AI/ML: Exposure to or coursework in machine learning libraries (e.g., Scikit-Learn, PyTorch, or TensorFlow).
- Cloud Curiosity: A basic understanding of cloud platforms (AWS, GCP, or Azure) and a desire to deepen that knowledge.
- Soft Skills: Strong communication skills, a collaborative mindset, and a genuine passion for problem-solving.
- Preferred Qualifications: Experience with DAX and advanced data modeling within Power BI. Academic or personal projects involving data pipelines, cloud services, or ML model deployment. Exposure to frontend (Angular) or backend (Flask) development is a plus. Experience working in an Agile environment or familiarity with Jira/Confluence.
Benefits:
- Mentorship: Work directly with senior engineers and architects who are dedicated to your professional development.
- Innovation Culture: Opportunity to work with cutting-edge AI, cloud, and BI technologies at a global scale.
- Career Growth: Clear advancement paths, access to Cisco’s internal learning platforms, and support for certifications.
- Benefits: Market-competitive salary, comprehensive health/wellness programs, and generous PTO.
- Flexibility: Flexible work arrangements and a supportive, inclusive team environment.
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