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Senior Data Engineer
As a Senior Data Engineer within the People Insights & Technology team, you will work in an Agile environment to develop and maintain robust data pipelines and management systems. You will partner with data science and business intelligence teams to co-create solutions that deliver accurate, high-quality data to drive business value.
Responsibilities
- Deliver enhancements to existing data pipelines and develop new ones with minimal guidance.
- Serve as a subject matter expert for data engineering tools and concepts.
- Collaborate with squad members to build secure, well-validated data pipelines across multiple system domains that align with long-term strategy.
Requirements
- 5+ years of experience as a Data Engineer.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
- Proficiency in Python (Pandas preferred).
- Experience with CI/CD tools and methodologies (GitLab, code reviews, merge requests).
- Understanding of DataOps practices.
- Experience with RDBMS/NoSQL and Docker.
- Preferred: Experience with AWS (EC2, Lambda, Glue, S3) and cloud data platforms like Snowflake.
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