
Senior Data Solutions Engineer
1 day ago
This position involves collaborating with consulting teams and clients to identify business challenges and develop solutions.
- Design, develop, and maintain large-scale data/software pipelines for stakeholders.
- Develop architecture and refine models to guide stakeholders through the model-building process.
- Advocate best practices in data engineering, code hygiene, and code reviews.
- Lead the development of proprietary data engineering assets, ML algorithms, and analytical tools.
- Create and maintain documentation to support stakeholders and runbooks for operational excellence.
Key Responsibilities
- Collaborate with clients and internal teams to understand business challenges.
- Design, develop, and deploy large-scale technical solutions.
- Develop and refine models to meet client needs.
- Implement best practices in data engineering and code hygiene.
- Maintain and improve existing systems and processes.
Required Skills and Qualifications
- Bachelor's or Master's degree in a computational or quantitative discipline.
- Experience with cloud-ready applications, test-driven development, and integration.
- Strong problem-solving skills and ability to manage workload.
- Excellent communication and collaboration skills.
- Ability to travel when required.
Technical Background
- Fluency in modern programming languages (Python is mandatory; R, SAS desired).
- Experience with AWS/Azure/Google Cloud services.
- Strong SQL skills and experience with relational databases.
- Experience with big data tools like Hadoop, Spark, Kafka.
- Familiarity with version control systems like GitHub or Bitbucket.
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