Senior Data Engineer
Skills
- Big Data engineering and pipeline development.
- Experience with machine learning, AI, and analytical technologies.
- Enterprise and web-based application development expertise.
- Strong programming skills in Python, R, C#, Java, JavaScript, or Golang.
- Proficiency with SQL, NoSQL, and graph databases (e.g., Neo4j, Document DB).
- Experience with web development technologies like HTML, JavaScript, jQuery, GraphQL.
- Knowledge of cloud services including Data Lakes, Enterprise Queues, Machine Learning and DevOps.
- Application and data security best practices.
- Experience with streaming technologies and ETL/Data Integration workflow management.
Responsibilities
- Develop software solutions supporting Data Platform, Analytics, and Digital Transformation initiatives.
- Build and maintain big data pipelines for enterprise data access.
- Leverage data science tools to extract business insights from complex datasets.
- Create data tools for analytics and data science teams.
- Develop machine learning models to provide real-time business predictions.
- Design and implement websites, dashboards, and data visualizations.
- Optimize data delivery and infrastructure for scalability.
- Produce functional and technical documentation.
- Perform quality assurance testing on code, interfaces, and processes.
- Troubleshoot and resolve software development and production issues.
Education
- Master’s degree in Computer Science, MIS, Information Systems, Engineering, or related field preferred.
- Alternatively, Bachelor's degree with 5 years relevant experience.
Benefits
- Foster inclusive and forward-thinking community culture.
- Opportunities for professional growth and development.
- Commitment to diversity, equity, and inclusion.
- Supportive work environment that values employee input and ownership.
Average salary estimate
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