Senior Data Engineer
Skills
- Proficiency in building and operating data pipelines within distributed systems
- Experience with data modeling and modern data engineering platforms
- Ability to write clean, high-quality code in preferred programming languages
- Hands-on experience deploying large-scale data-centric applications using distributed storage and processing platforms
- Knowledge of data visualization techniques and communicating insights
- Understanding of data-driven problem solving with emphasis on security and privacy
- Familiarity with SQL, NoSQL databases, data lakes, and data schemas
Responsibilities
- Develop and operate modern data architecture to meet business objectives and provide end-to-end data solutions
- Create intricate data processing pipelines addressing complex client problems
- Collaborate with data scientists to implement scalable data models
- Write clean, iterative code using TDD and continuous delivery for data pipeline deployment and support
- Utilize distributed storage and computing technologies effectively
- Develop and implement data models using appropriate modeling techniques and technology stacks
- Work collaboratively on data governance, security, and privacy initiatives
- Incorporate and ensure data quality in daily data engineering tasks
Education
- Bachelor's degree in Computer Science, Engineering, or related field preferred
Benefits
- Supportive career development programs and interactive learning tools
- Hybrid remote work model with local office presence
- Opportunities for business travel to client locations
- Inclusive equal opportunity employer policies
- Collaborative work culture focused on mentorship and growth
Average salary estimate
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